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Robotics Machine Learning Engineer
We’re building the data stack for Physical AI. The Rerun open source viewer is already loved by some of the best teams in the world and the Rerun Cloud is live with early design partners. Demand is strong, and we need engineers who can sit with our customers and make them successful while feeding lessons learned back into the product. Our product is still early, and the right person will be comfortable fixing a feature and preparing a data pipeline as they are running a live demo. WHAT SUCCESS LOOKS LIKE IN THE FIRST 6 MONTHS Your north star is simple: help our customers love Rerun. You'll be the primary technical interface between Rerun and a set of customers, from demo to signed contract and through deep production use. We value a strong ownership mentality. WHAT YOU'LL WORK ON - Machine learning: - Data pipelines: ingest data from physical systems, curate datasets, and convert into training datasets - Training and experimentation: building reference projects for embodied AI use cases such as imitation learning pipelines, sim-to-real setups, and evaluation frameworks - Customer love: - Landing customers: Running demos and building engineer-to-engineer trust alongside our founders based on machine learning work - Launching customers: Support onboarding customers onsite and remotely. We anticipate 30% travel for this role, with less initially and potentially growing to a larger percentage over time - Improving product: Mapping customer needs and one off solutions to evolve our roadmap. Sometimes building features yourself based on your deep customer understanding WE'D LOVE IT IF YOU HAVE - ML engineering background, ideally with data engineering exposure with a strong understanding of pipelines, ingestion, and the messy realities of physical-world data - Strong Python; C++ or Rust is a plus - Genuine interest in robotics, spatial AI, or computer vision - Comfortable talking to engineers and communicating value without losing technical depth - Energized by ambiguity, ownership, and wearing many hats - Comfortable with periodic travel and ideally excited by the prospect of being deeply embedded with a customer when it matters HOW WE WORK AT RERUN - We're a remote company headquartered in Stockholm, Sweden. - We meet up in person for a week roughly once a quarter - The team you'll join has members in European and US timezones - We've put together an uncommonly talented tech team, value agency and helpfulness highly, and expect everyone to take broad responsibility for what they build - We offer competitive cash and equity compensation, six weeks paid vacation, and whatever hardware and software you need to do your job
Member of Technical Staff - Python SDK
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for strong engineers with experience building developer tools that users love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful interfaces that enhance developer productivity. REQUIREMENTS: - 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software. - Knowledge of advanced Python features, especially async programming. - A strong product sense that manifests as a focus on developer ergonomics and productivity. - A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems. - Ability to participate in on-call rotation and respond to production incidents. - Ability to work in-person in our NYC or Stockholm office. - Any of the following would be a plus: - Familiarity with modern data / ML / AI tools and workflows - Experience with Typescript, Go, or Rust
Software Engineer II, Machine Learning
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Team or Role: The Tinder ML team drives impact across nearly every core domain of the product — Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem. ML at Tinder is organized into three groups with distinct roles: Machine Learning Engineers who focus on modeling and algorithmic innovation (this role) Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role We are looking for a Machine Learning Engineer II to help build and ship machine learning systems that improve product experience and drive measurable business impact. This role is ideal for an engineer with a strong foundation in machine learning and software engineering who is excited to work on real-world problems, partner cross-functionally, and grow quickly in a high-impact environment. This is an individual contributor role focused on modeling and algorithmic innovation. You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from development into production. The team’s work directly translates into measurable business outcomes, and many of its models are embedded in core Tinder user flows at scale. Where You'll Work: This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, California. In this role, you will: Translate product and business problems into clear machine learning problems with measurable success criteria Build, train, evaluate, and improve production machine learning models Partner with software engineers and ML infrastructure engineers to deploy models and improve reliability, scalability, and performance in production Design and analyze offline evaluations and online experiments to understand model impact Contribute to feature engineering, data preparation, training pipelines, and model monitoring Write clean, maintainable, production-quality code and participate in design and code reviews Communicate technical findings, trade-offs, and recommendations clearly to both technical and non-technical partners You'll need: BS or MS in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field 1+ year of industry experience in machine learning, software engineering, data science, or a related field Strong foundation in computer science fundamentals, including data structures, algorithms, and software design Experience building ML or AI-related systems, or strong understanding of how modern machine learning systems are developed and operated Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language Strong understanding of machine learning fundamentals, including model training, evaluation, and experimentation Strong communication skills and the ability to collaborate effectively across functions Self-motivated, proactive, and comfortable taking ownership of well-scoped problems Nice to have: Experience with recommendation systems or casual inference Familiarity with big data or stream processing frameworks such as Spark or Flink Familiarity with cloud platforms such as AWS and containerized environments such as Kubernetes Familiarity with ML model serving frameworks such as TensorFlow Serving, TorchServe, Triton Inference Server, or Ray Serve Experience with feature stores, ML data pipelines, and orchestration frameworks such as Airflow Understanding of MLOps practices including CI/CD for ML, model versioning, and automated evaluation Exposure to observability and monitoring for ML systems Exposure to LLM-related use cases or applied generative AI projects
GTM Systems Architect, Ripple Treasury (AI & Autom...
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Ripple is evolving how we go-to-market, and we are looking for a technical GTM Systems Architect to join the Ripple Treasury marketing team. This is a high-impact individual contributor (IC) role focused on building a modern "Marketing Operating System" that leverages AI and automation to scale our treasury solutions globally. You will be the architect connecting multiple tools (Gemini, Claude, CRM, and automation platforms) to create a seamless, high-velocity engine for marketing campaigns and programs. WHAT YOU'LL DO: - Build the Marketing OS: Design and maintain a unified marketing operating system that connects disparate tools to automate the end-to-end lifecycle of marketing programs. - AI Integration: Deploy LLMs (specifically Gemini, Claude, and GPT-4) as logic layers within marketing workflows to automate content personalization, lead research, and campaign triggers. - System Orchestration: Use automation platforms (e.g., Zapier, Make, n8n, or Clay) to build "waterfalls" that link Ripple’s internal data with external market signals. - Cross-Functional Engineering: Partner with Marketing Ops, Data Science, and Product teams to ensure the Marketing OS integrates deeply with Ripple Treasury’s core data infrastructure. - Process Automation: Replace manual marketing tasks with automated agents that handle everything from regional trend identification to actionable performance reporting. - Technical Optimization: Continuously experiment with new AI tools and prompt engineering techniques to improve the speed, cost-efficiency, and ROI of GTM initiatives. WHAT YOU'LL BRING: - The Hybrid Profile: 3-5 years of experience in GTM Operations, Growth Engineering, or RevOps, with a proven track record of building technical marketing stacks. - AI Expertise: Deep technical fluency with LLMs (Gemini, Claude) and an understanding of how to apply them to business logic and outbound automation. - Systems Thinking: The ability to treat a marketing strategy like a software stack—building repeatable, scalable, and automated workflows. - Technical Toolset: Proficiency in automation platforms (Make/n8n), data enrichment tools (Clay), and a strong understanding of API integrations. (Coding skills in Python or JavaScript are a major plus). - Analytical Rigor: A problem-solver who enjoys making decisions based on hard data and can provide technical recommendations for ongoing system improvements. - Communication: The ability to translate complex technical architectures into clear business outcomes for Ripple Treasury stakeholders. - Curiosity: A "builder" mindset with a commitment to staying at the forefront of the rapidly evolving AI and automation landscape. For positions that will be based in IL, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. IL Annual Base Salary Range $132,000 - $165,000 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Senior Staff Security Engineer, AI
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As a Senior Staff Security Engineer focused on AI Security, you will be Ripple's deepest technical expert at the intersection of artificial intelligence and security. This is a purpose-built, high-impact individual contributor role that spans two critical mandates: securing AI systems that Ripple builds and operates, and harnessing AI to make Ripple's security function faster, smarter, and more scalable. You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI-powered security tooling in close partnership with the broader organization to embed AI security into how Ripple operates every day. You will also shape Ripple's external posture on AI security, contributing to industry standards, regulatory discussions, and Ripple's published security practices. WHAT YOU’LL DO: - Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one. - Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope. - Own AI security across the Controlled Agentic SDLC, establishing security guardrails, AI provenance standards, dual-review requirements, and audit trail controls for AI-assisted development across Ripple Engineering. - Lead the security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third-party MCP servers, and vendor-embedded AI. - Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy, and ensuring all AI workflows operate within Ripple's auditable perimeter. - Serve as Ripple's go-to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi-agent systems, translating emerging threats into concrete mitigations with Engineering and Product. - Shape Ripple's external AI security posture, contributing to industry frameworks, engaging regulators, and publishing research that establishes Ripple as a credible voice in responsible AI security. WHAT YOU'LL BRING: - 10+ years of Security Engineering experience with demonstrated depth in at least two domains, such as Product Security, Cloud Security, or Security Operations, and meaningful hands-on exposure to AI or ML security in practice. - Solid understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic risks such as tool poisoning, excessive agency, and MCP server vulnerabilities. - Experience securing agentic AI systems, including sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring for autonomous workflows. - Fluency with core Security Engineering domains including cloud security on AWS, GCP, or Azure, CI/CD pipeline security, container and Kubernetes security, IAM, and API security, with the ability to reason about how these apply in AI-specific contexts. - Strong threat modeling instincts, whether using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or your own approach, and comfort applying frameworks to architectures where the playbook remains in development. - Experience in FinTech, crypto, or other highly regulated environments is a strong plus, ideally with exposure to frameworks like NYDFS, MAS, DORA, or SOC 2 as they relate to AI adoption. - Proven ability to work across teams, influence technical direction without direct authority, and bring structure to problems that span Engineering, Product, and Security. - A genuine builder's mentality. You are energized by problems without established playbooks, comfortable building in ambiguity, and motivated by raising the bar in an area that is still being defined. Other common names for this role: AI Security Architect, LLM Security Engineer, Agentic AI Security Lead For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Annual Base Salary Range $232,000 - $290,000 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Staff Software Engineer, GenAI Platform
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Are you an ambitious engineer looking to make an outstanding impact in the world of financial technology? At Ripple Labs Inc., we are seeking a GenAI Platform Staff Software Engineer to join our team in San Francisco, CA. You will collaborate with world-class colleagues to successfully implement innovative solutions that redefine the global financial system. WHAT YOU’LL DO: - Develop and deliver production-quality agentic AI systems end-to-end using Python, Go, and/or Java, covering EKS deployment, agent runtimes, memory systems, orchestration, tool integration, and evaluation pipelines that operate across Ripple's polyrepo engineering environment. - Define and advance Ripple's Enterprise Agentic AI and developer platform architecture through practical implementations, reference systems, and production deployments — not abstract diagrams. - Build and implement multi-agent orchestration patterns (planner, executor, reviewer, tool agents) using frameworks such as LangGraph, MCP, Claude Code agent harnesses, or similar orchestration systems, with strong regression coverage and observability. - Run fast, high-quality POCs on emerging agent architectures; harden successful patterns into reusable platform services, APIs, SDKs, and developer templates that engineering teams across Ripple can adopt. - Architect and implement data flywheels that continuously improve agent quality through telemetry, benchmarking, automated evaluation, and structured feedback loops — treating quality, cost, latency, and safety as first-class signals. - Embed security, guardrails, sandbox isolation, auditability, and policy enforcement directly into agent runtimes in partnership with security, compliance, and governance teams — particularly for workflows that touch XRPL, RLUSD, and payment systems. - Evaluate, integrate, and extend open-source and third-party agent platforms; drive disciplined build-vs-use decisions based on performance, scalability, control, and long-term platform ownership. - Collaborate closely with engineering, infrastructure, product, and business partners to align architectural direction with enterprise priorities and accelerate adoption across the organization. WHAT YOU'LL BRING: - Bachelor's degree in Computer Science or related field or equivalent experience; Master's or PhD preferred. - 10+ years of experience building and shipping large-scale distributed systems with significant hands-on coding in Python, Go, Java, or similar systems languages. - Proven ability to move quickly from idea to functional prototype to robust, scalable platform solution. - Proven track record in constructing agentic AI systems, including RAG pipelines, long-lived memory models, multi-agent orchestration (e.g., AgentCore, Strands, LangGraph, MCP, Claude Code, LangChain), tool frameworks, and evaluation infrastructure. - Expert-level depth in Kubernetes (EKS preferred), service mesh (Istio), containerized workloads, networking, APIs, and secure enterprise integration patterns. - Experience crafting benchmarking, regression testing, telemetry, and observability systems (OpenTelemetry, Prometheus, Grafana) that measure agent quality, latency, cost, reliability, and safety. - Strong understanding of performance tuning in hybrid environments, including managed inference endpoints and GPU-based workloads. - Excellent collaboration skills with the ability to influence cross-functional partners, build positive relationships, and clearly communicate complex architectural concepts to both technical and business audiences. Preferred Qualifications - Proven experience delivering reusable developer-acceleration components such as SDKs, APIs, templates, reference implementations, and CI/CD automation. - Experience building cross-repo context engines or AI-native developer platforms at scale (vector databases such as Qdrant, code embeddings, Tree-sitter, retrieval across thousands of repositories). - Experience integrating enterprise agentic search and orchestration platforms (Glean, Cursor, Claude Code at organizational scale, Microsoft Copilot Studio, or similar). - Experience embedding fine-grained policy enforcement, access controls, sandbox isolation, and audit trails directly into AI runtimes — particularly in regulated or financial contexts. - Familiarity with formal methods (TLA+, model checking) or property-based testing applied to agentic systems and distributed protocols. - Background in blockchain, payments infrastructure, or the XRPL/RLUSD ecosystem. - Evidence of meaningful open-source contributions: core commits, maintainer-ship, widely adopted libraries, or public technical artifacts demonstrating system-level depth. For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Annual Base Salary Range $208,000 - $250,000 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Senior Security Engineer - Remote
ABOUT US Parity is one of the world’s most experienced companies building the core infrastructure behind blockchain — the system that allows information and value to be shared securely without needing an intermediary. We’re laying the foundation for a better web which respects the freedom and data of individuals, and empowers developers to build better, more trustworthy online services. Our remote-first, global team develop open-source software that anyone can use or improve. This includes Polkadot https://polkadot.network/, Polkadot SDK https://substrate.io, and Kusama https://kusama.network/ — key parts of the Web3 tech stack, the next generation of the internet. Our mission is to make Polkadot the most active and innovative community in blockchain, powering a new era of connected and decentralised applications. ABOUT THE TEAM Parity’s Security Engineering team is at the forefront of protecting the Polkadot ecosystem by designing and implementing secure software, auditing code for vulnerabilities, and building cutting-edge ML tools to automate security analysis. We work closely with development teams to embed security best practices across our open-source stack, ensuring that our blockchain infrastructure is robust, resilient, and secure by design. ABOUT THE ROLE As a security-focused software engineer, you will go beyond traditional application security - you’ll audit and ideally write secure Rust code where needed, conduct deep manual and automated code audits, and leverage machine learning to enhance security across our ecosystem. This is an opportunity to shape the security landscape of the next generation of decentralized applications and protocols. - Assist in developing Secure Software – Write and optimise Rust code to build security-critical components and tools. - Code Auditing & Vulnerability Analysis – Perform deep manual and automated code reviews to identify and mitigate security vulnerabilities. - ML-Powered Security – Design and implement machine learning models for automated security analysis, anomaly detection, and threat mitigation. - Bug Bounty & Vulnerability Management – Manage bug bounty submissions, triage security reports, and collaborate with ethical hackers to resolve issues. - Secure Development Best Practices – Work with engineering teams to integrate security best practices into the software development lifecycle. - Threat Modeling & Risk Assessment – Identify and assess security risks in our blockchain infrastructure, smart contracts, and core software. - Stay Cutting-Edge – Research and implement the latest advancements in secure coding, ML-driven security, and blockchain security. WHAT WE'RE LOOKING FOR - Experience with secure coding practices and memory safety concepts. - Background in code auditing, vulnerability analysis, or exploit development. - Experience triaging and resolving bug bounty reports. - Knowledge of machine learning techniques applied to security (e.g., anomaly detection, fuzzing, automated threat detection). - Familiarity with cryptographic principles, blockchain security, or decentralized systems. - Strong problem-solving skills and an offensive security mindset. If you're excited about writing secure software, auditing code, and pioneering ML-driven security solutions for Web3, we’d love to hear from you! ABOUT WORKING WITH US Joining Parity means joining team mates who are genuinely excited about the impact their projects are having, and the opportunity to grow alongside some of the brightest minds in the Web3 space! You’ll work remotely and flexibly, while still getting to meet your team mates throughout the year at team and company-wide retreats. Upon receiving an offer, all candidates undergo a background check through Zinc https://zincwork.com/candidates, our trusted third-party provider. Team members will be taken on as a contractor via our UK entity. View our Applicant Notice https://www.parity.io/applicant-notice/ to see how we use your data. Parity is an Equal Opportunity Employer. We welcome diversity in our global team and care about everyone in our collective feeling included and welcome. Is this position not quite your match? Browse https://www.parity.io/jobs/ our other open roles.
Technical Program Manager, AI Performance
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma seeks an AI-Native Performance TPM to own performance prevention, diagnostics, and safe rollout for both our flagship products and next-gen AI features. This platform-level role spans desktop, browser and mobile; requires deep experience with performance testing (load, stress, endurance, interference), observability, and incident response. You’ll partner across Product, Platform, Performance Program and Product Support. Join us to keep Figma snappy quick! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - This is a specialist Platform TPM owning horizontal, high-visibility performance programs that span: - Flagship product performance (load times, FPS, memory) and AI features (model inference latency, throughput, cost, and reliability) - Desktop, browser, native mobile (React Native / WebView), and WASM contexts - Cross-org programs: observability/telemetry, regression prevention (performance CI), xfn performance forum, SEV mitigation, safe rollout of AI capabilities, and CE Planning (customer engineering / enterprise readiness) We’d love to hear from you if you have: - 5+ years in performance engineering, performance TPM, platform TPM, or SRE with hands-on experience shipping performance programs for SaaS products - Demonstrated experience with load, stress, performance or scalability testing and new-build comparisons - Deep familiarity with web performance (FCP, LCP), rendering/FPS, WASM memory, mobile profiling (Xcode Instruments, Android Profiler) - CI/CD and test automation experience: integrating performance tests into pipelines - Distributed systems, cloud infra (AWS), autoscaling, and capacity planning - Hands-on prior work with LLMs, prompt engineering, or agent platforms While it’s not required, it’s an added plus if you also have: - Experience with MLops or LLMs: inference latency tradeoffs, batching, caching, etc - Observability stack: Datadog / Sentry / RUM - Background as a performance engineer (not just TPM) with code or test harness contributions. - Experience with large enterprise Planning / customer load tests. - Familiarity with real-time collaborative systems and GPU/WASM performance constraints. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range: $185,000 - $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: - Holding interviews in an accessible location - Enabling closed captioning on video conferencing - Ensuring all written communication be compatible with screen readers - Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice .
Software Engineer, AI Product (London, United King...
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma we believe design doesn’t end in a file or with your designer — it includes everything that goes into the product you ship: the production code that ties it all together, the systems and developer tools that make that code reliable, the context you provide to our AI agents, and the documentation that keeps everyone on the same page. The Code Area at Figma is redefining how Designers, PMs and Engineers collaborate. We are responsible for agentic workflows enabling ideation and prototyping on production codebases as well as accelerating the journey from design to code. In 2023, we launched Dev Mode , a suite of features that give developers everything they need to navigate design files and transform designs into code. In 2025, we introduced Figma’s MCP , accelerating how ideas get to production. Looking to the future, we aim to further reduce the barriers between design to code and code to design allowing ideation, prototyping and productionisation to happen seamlessly where it most makes sense. Our Code organization is expanding, and we’re hiring AI Product Engineers across multiple levels in the UK. We’re looking for people who have built generative AI products and are eager to lead AI efforts end-to-end, from early ideas to production. Join us in shaping the future of AI at Figma! What you’ll do at Figma: - Build and evolve Dev Mode, Figma’s leading tool for dev/design collaboration - Take part in building new 0→1 products within the agentic coding space - Collaborate with designers, PMs, and other engineers craft high quality products - Be a mentor to, and be mentored by, exceptional peers across engineering, product & design - Build strong personal connections with your teammates and help shape Figma’s culture. We’d love to hear from you if you have: - 3+ years of experience shipping user-facing features or products as a full-stack developer - Demonstrated strong fluency with React & Typescript - Experience communicating and working across functions to proactively drive solutions - Attention to detail, quality, and craftsmanship - High velocity & a focus on user impact While it’s not required, it’s an added plus if you also have experience: - Leading large scale engineering projects with high impact - Driving XFN projects collaborating with Product, Design, Data & Research - Working with user facing LLM and agentic product features - Working with Ruby / Ruby on Rails. - Developing for iOS and/or Android At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: - Holding interviews in an accessible location - Enabling closed captioning on video conferencing - Ensuring all written communication be compatible with screen readers - Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice .
Product Manager - AI
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical’s product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests. We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’, starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities. Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives. We have open product manager roles across a wide range of product domains, including: - Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, & Hardware Enablement - Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem - AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge - IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics - Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD - Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs - Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics - Automotive - Open source solutions for autonomous driving, in-vehicle infotainment, connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434 - Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms If your domain of expertise isn’t listed above, yet you feel it’s relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: These roles are home based in the EMEA time zone. You will be expected to be located in this region. The role entails - Lead the product development lifecycle, reviewing the priorities and goals for your product - Collaborate with cross-functional teams such as engineering, design, marketing, and sales - Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track - Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities - Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations - Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience - Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training - Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings - Oversee the work of a product line, ensuring consistency in strategy and execution across different teams - Facilitate collaboration and resolve conflicts within different teams and across other departments What we are looking for in you - Exceptional academic results at high school and university - Understanding of Linux and the wider open source software community - Understanding of computer architecture, application development, datacenters, cloud or devices - Passion to write about technologies and the tech landscape - A strong work ethic, and personal interests aligned with the open source movement - Curiosity, and the habit of continuous learning - A strong sense of ownership - Problem solving and the ability to innovate - Outstanding communications skills in English, both verbal and written - For more senior positions, product management experience in the software industry - Ability to manage multiple projects or product lines while maintaining focus on key priorities - Demonstrated leadership in aligning diverse teams and driving consensus around product strategies - Willingness to travel internationally up to 4 times a year for company events up to two weeks long Additional skills that we value - Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive) - Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel - Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps - Familiarity with embedded and connected device technology and ecosystems - Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband - Familiarity with telco networking - RAN, Core, CPE - Experience in leading distributed teams across different time zones - Demonstrated ability to foster collaboration and innovation in team settings What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. - Distributed work environment with twice-yearly team sprints in person - Personal learning and development budget of USD 2,000 per year - Annual compensation review - Recognition rewards - Annual holiday leave - Maternity and paternity leave - Employee Assistance Program - Opportunity to travel to new locations to meet colleagues - Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. LI-remote
Head of Policy & Security Research Lab
We are seeking a highly experienced, strategic and mission-driven leader to drive the policy research priorities of Scale Labs. This is a unique opportunity to lead a team of research scientists, policy experts and engineers on foundational AI safety and security work. You will: - Own day-to-day responsibilities for the strategy, direction and execution of Scale’s Policy Research Lab - Collaborate with a team of internal researchers, leading research labs across governments, industry, and academia. - Working alongside a team of internal researchers drive initiatives related to frameworks and benchmarks for frontier AI models. - Remain deeply engaged with the policy and research communities to understand and set trends. - Manage and coordinate the lab's projects, partnerships and strategy, including direct work with global AI safety institutes. - Finalize, coordinate, and execute the lab's recruiting plan and research agenda. Ideally you’d have: - 6+ years of relevant academic or work experience - A track record of impactful research and/or policy contributions - Experience leading teams in relevant areas including AI Safety Policy, Thought Leadership and Research publications - Strong written and verbal communication skills for cross-functional collaboration. - Experience building and mentoring teams of research scientists and engineers. - A strong technical and policy background with a deep understanding of the AI safety space. - Extensive knowledge of frontier risk evaluations, AI control, and preparedness research. - Established connections with government partners, particularly AI safety institutes. Nice to have: - Publications at major machine learning/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or journals. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $198,000 - $247,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Engagement Manager (Germany), Public Sector
Scale AI is at the forefront of the AI revolution, helping the U.S. government and allied partners unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows who is eager to travel regularly to Europe and ultimately relocate to Germany to be onsite with customers. As an EM on our public sector delivery team, you will support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Be forward deployed in Germany with customers to scope agentic workflow use cases that Scale’s engineering team will build and refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance - 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - A basic understanding of GenAI/ML - Excellent verbal and written communication skills - Willingness to initially travel 50% of the time to Germany and ultimately relocate there We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government. - A technical background (education or professional experience with computer science, economics, statistics, engineering) - A proven track record in B2B client-facing roles and expanding client relationships - Prior experience owning the technical implementation of solutions to the government - Domain expertise in a relevant field (e.g. modeling and simulation, joint planning, intelligence workflows) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $191,200 - $291,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Associate General Counsel, Product and Privacy
Scale is at the forefront of powering artificial intelligence. We believe that trust in AI is earned with high-quality data for training, fine-tuning, and evaluating AI systems. Our products are transforming how organizations build and deploy AI. Our customers are the world’s most innovative model developers and enterprise and public sector entities looking to apply AI in their organizations. Come join us and work on the most exciting legal issues at the leading edge of artificial intelligence. We're seeking a thoughtful, multidisciplinary Associate General Counsel, Product & Privacy, to be a strategist and thought partner to our business teams in creating the next-generation platform for AI development. This lawyer will lead product and privacy legal initiatives for our cutting-edge products and will report to Scale’s Senior Director and Associate General Counsel responsible for product counsel, privacy, and other areas. The ideal candidate will have a technology background; privacy expertise and fluency in AI, intellectual property, and consumer protection law; experience providing strategic legal guidance that advances data-driven business goals while facilitating regulatory compliance, managing legal risk, and enhancing customer trust; and a demonstrated ability to partner well with cross-functional teams, including superlative communication, collaborative problem-solving, initiative, empathy, urgency, and focus. You will: - Identify and manage legal risks in product development, including privacy, regulatory, licensing, intellectual property, and others. - Develop the product and privacy legal functions, with a focus on maturing, operationalizing, and scaling legal support in these areas. - Partner closely with technical and non-technical teams, including Product, Engineering, Operations, and Security, to future-proof key strategic initiatives involving customer data, payments, and responsible AI. - Be a subject matter expert – for both business partners and the Legal team – on US and global privacy laws and other laws related to products you support. - Build positive and influential relationships with Scale product leadership, and cross-functional partners regarding regulatory matters that impact our products. - Help advance the General Counsel’s and Product and Privacy Legal team’s strategic vision across the company - Develop creative solutions, in partnership with Legal and Product stakeholders, for how legal frameworks can support new products and customer experiences. - Support the drafting and negotiation of commercial agreements, including data protection agreements and others related to your products and services. - Help ensure that Scale and its affiliate companies comply with global privacy and data protection laws and emerging new laws, including the CCPA, GDPR, and other data protection and AI requirements. - Work hands-on with business and product teams to ensure that privacy is embedded into Scale’s products and processes by design and to implement best-in-class privacy and compliance. Ideally you'd have: - 8+ years of legal experience, with a focus on emerging technologies and privacy and data protection counseling. - Expertise in US and global privacy regulations. - Familiarity and experience with launching products and advising on the legal and regulatory aspects of product development in the technology space. - Fluency in translating legal advice into actionable guidance for Product, Engineering, and Operations teams. - Ability to think strategically at a high-level and from deep in the details, in order to drive complex problem solving and develop creative, business-forward solutions . - Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to business and technical audiences. - A roll-up-your-sleeves attitude to tackle projects large and small with a low-ego approach to collaborating across the organization. - Deep interest in artificial intelligence, generative AI, and machine learning technology and applications. - Excellent organizational and communication skills. - JD and a member of a state bar in good standing. Nice to haves: - Familiarity with the legal and ethical implications of AI, and the technical aspects of AI systems, including large language models and machine learning. - Experience developing a privacy program. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $264,800 - $331,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Associate General Counsel, Product & IP
Scale is at the forefront of powering artificial intelligence. We believe that trust in AI is earned with high-quality data for training, fine-tuning, and evaluating AI systems. Our products are transforming how organizations build and deploy AI. Our customers are the world’s most innovative model developers and enterprise and public sector entities looking to apply AI in their organizations. We are seeking an Associate General Counsel, Product & IP to provide strategic product counseling on cutting edge issues at the intersection of IP and agentic and generative AI. The ideal candidate for this role will have experience harnessing IP as a competitive advantage; providing strategic legal guidance that advances data-driven business goals while facilitating regulatory compliance, managing legal risk, and enhancing customer trust; and a demonstrated ability to partner well with cross-functional teams, including superlative communication, collaborative problem-solving, initiative, empathy, urgency, and focus. You will: - Oversee and strategically manage Scale’s worldwide intellectual property portfolio. - Develop and implement a comprehensive IP strategy that aligns with Scale’s business objectives, ensuring the development and protection of high-quality intellectual property. - Oversee invention sessions, invention disclosure selection, patent application drafting and filing, and patent prosecution. - Be a subject matter expert–for both business partners and the Legal team–on US and global intellectual property laws. - Work hands-on with business and product teams to ensure that intellectual property protection is embedded into Scale’s products and processes by design and to implement best-in-class compliance. - Develop creative solutions, in partnership with Legal and Product stakeholders, for how legal frameworks can support new products and customer experiences. - Support the drafting and negotiation of commercial agreements at the cutting edge of intellectual property and AI. - Help advance the General Counsel’s and Product Legal team’s strategic vision across the company. Ideally you'd have: - At least 8+ years of experience in-house and at a top law firm, ideally both managing at least a portion of an IP portfolio and product counseling. - Ability to think strategically at a high-level and from deep in the details, in order to drive complex problem solving and develop creative, business-forward solutions. - Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to executive, business, and technical audiences. - A roll-up-your-sleeves attitude to tackle projects large and small with a low-ego approach to collaborating across the organization. - Deep interest in artificial intelligence, generative AI, and machine learning technology and applications. - Excellent organizational and communication skills. - JD and a member of the California in good standing. Nice to haves: - Experience in preparing and prosecuting patent applications in artificial intelligence and machine learning technologies. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $264,800 - $331,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Technical Program Manager, Model Alignment and Dep...
ABOUT THE ROLE Model Alignment and Deployment is a critical, cross-functional effort spanning our Post-Training, Safety Engineering, Trust & Safety, ML Infra/Model Serving, and User Experience Research (UXR) teams. Together, these groups are responsible for transforming powerful pretrained language models into intelligent, engaging, safely aligned, and highly scalable products—working across data, compute, algorithms, infrastructure, and user insights to improve model performance and ensure reliable delivery. As a Technical Program Manager, you will be the operational and programmatic backbone connecting these teams: driving clarity, structure, and execution across some of the most technically complex and high-stakes work at Character.AI http://Character.AI. This is a role for someone who thrives at the intersection of research, safety, user experience, and production. You'll partner closely with research engineers, safety experts, data scientists, infrastructure engineers, and UX researchers to turn ambitious model development goals into well-scoped, well-tracked, cross-functional programs. You will ensure that the data pipelines, evaluation frameworks, alignment workflows, and serving infrastructure underpinning our models are moving fast and moving well. You'll operate effectively in high-ambiguity environments, anticipate risks before they become blockers, and bring the kind of technical fluency needed to earn trust with researchers while communicating clearly to leadership. WHAT YOU’LL DO - Program ownership: Lead planning and execution of cross-functional programs spanning data collection, annotation pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails (adversarial testing, red-teaming), and model serving. Establish scopes, goals, timelines, risks, and success metrics. - Cross-functional coordination: Serve as the connective tissue between Post-Training, Safety Engineering, Trust & Safety, ML Infra, UXR, and Product. Translate model development, safety, and user experience priorities into executable roadmaps, keeping tightly coupled workstreams aligned from post-training through to production deployment. - Evaluation & quality: Develop and maintain custom evaluation frameworks to track model performance and user satisfaction. Drive comprehensive quality evaluation initiatives alongside rigorous safety and toxicity baselines. Partner with UXR, researchers, and engineers to identify quality signals, incorporate human feedback, and surface actionable insights on model behavior in production. - Operational excellence: Drive visibility into data pipeline health, annotation quality, training run progress, and deployment readiness. Identify bottlenecks across teams and lead efforts to improve tooling, process, and developer velocity. - Strategic partnership: Partner with research, safety, product, and UXR leadership on prioritization, sequencing, and tradeoffs—balancing aggressive capability scaling with strict safety requirements, user needs, and infrastructure constraints. - Process development: Build and refine the operational patterns, ontologies, and frameworks used to scale new capability development—from prompt engineering and data generation to model behavior specification and safety guidelines. - Vendor & partner management: Own external partner relationships supporting these workstreams, including general and safety-focused annotation vendors, evaluation tooling providers, and data partners. WHAT YOU’LL BRING - 5+ years of experience in technical program management, research operations, or product execution in a fast-moving AI, ML, or research environment. - Deep familiarity with post-training and alignment concepts (supervised fine-tuning, RLHF, AI safety frameworks, LLM evaluation) as well as model deployment/serving, sufficient to engage substantively with both research and infrastructure engineers. - Proven ability to lead complex, multi-team programs in ambiguous, rapidly evolving environments; track record of shipping with quality and speed. - Strong analytical mindset; comfortable working with data and user insights to measure program health, identify trends, and drive decisions. - Proficiency in SQL and Python. - Exceptional communication skills - able to translate deep technical work into clear narratives for leadership, and to hold detailed technical conversations with engineers across different disciplines. - Obsessive about data integrity, operational rigor, and process quality without letting process slow teams down. - BS in a quantitative, scientific, or technical field; MS or PhD a plus. NICE TO HAVE: - Hands-on experience with data pipelines, annotation platforms, ML evaluation tooling, or human-in-the-loop workflows. - Experience managing annotation vendors or external data partners. - Familiarity with distributed training, experiment tracking, or ML infrastructure (Kubernetes, Docker, cloud) and model serving systems. - Prior experience embedded in an AI research team, foundation model lab, or Trust & Safety engineering team. - Direct experience managing AI safety, trust, quality eval, or red-teaming programs. ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.
Research Engineer, Pretraining Scaling - London
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: - Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability - Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure - Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance - Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams - Build and maintain production logging, monitoring dashboards, and evaluation infrastructure - Add new capabilities to the training codebase, such as long context support or novel architectures - Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams - Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: - Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems - Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other - Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure - Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs - Excel at debugging complex, ambiguous problems across multiple layers of the stack - Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents - Are passionate about the work itself and want to refine your craft as a research engineer - Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: - Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale - Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) - Published research on model training, scaling laws, or ML systems - Experience with production ML systems, observability tools, or evaluation infrastructure - Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 - £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Research Engineer, Pretraining Scaling
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: - Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability - Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure - Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance - Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams - Build and maintain production logging, monitoring dashboards, and evaluation infrastructure - Add new capabilities to the training codebase, such as long context support or novel architectures - Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams - Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: - Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems - Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other - Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure - Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs - Excel at debugging complex, ambiguous problems across multiple layers of the stack - Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents - Are passionate about the work itself and want to refine your craft as a research engineer - Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: - Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale - Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) - Published research on model training, scaling laws, or ML systems - Experience with production ML systems, observability tools, or evaluation infrastructure - Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
AI Deployment Strategist, Healthcare & Life Scienc...
At Scale, we believe AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Senior Deployment Strategist, Enterprise AI, you will work closely with Scale’s Enterprise AI business unit leadership team to execute on our vision to be the partner of choice for AI solutions across healthcare and life sciences, from leading health systems to pharmaceutical and life sciences organizations. With a deep focus on Generative AI and Large Language Model (LLM) applications for large enterprises, you will be working at the leading edge of AI innovation and driving business impact. In this leadership role, you will own the design and delivery of cutting-edge solutions for the world’s largest enterprises. The ideal candidate is a highly motivated individual who is able to combine meticulous planning & organization, analytical rigor, an obsessive focus on customer relationships and outcomes, and an empathetic interpersonal style. You have a demonstrated ability to lead AI projects and initiatives, establish credibility with internal and customer C-Suite stakeholders, and are comfortable rolling up your sleeves to tackle a variety of challenges. If you want to work on the most ambitious Generative AI innovation in the world and have some fun while doing it, we'd love to hear from you! You will: - Partner with Head of Solutions Delivery, VP/GM of Enterprise AI, and other leaders to design and deploy the highest priority AI solutions for the world’s largest and most well known enterprises. - Own and grow a strategic healthcare or life sciences account, expanding the relationship across new workstreams, and help establish new accounts across health systems and life sciences organizations. - Own outcomes and delivery across multiple concurrent workstreams and day-to-day relationships with senior customer stakeholders. - Work cross-functionally with world-class ML engineers, forward deployed engineers and Go-To-Market team. - Act as a thought partner to Enterprise AI business unit leadership, proactively identifying opportunities to shape our product roadmap, business development priorities, and internal operations. Ideally you'd have: - 5+ years experience in management consulting, business operations, or other highly strategic, analytical and operational roles within a rapidly growing company; experience in healthcare, life sciences, or another regulated industry is strongly preferred. - Comfort operating in regulated, data-sensitive technical environments, with awareness of data privacy and compliance requirements. - Ability to build credibility and trusted relationships with clinical and/or scientific stakeholders. - Strong executive communication skills – able to synthesize complex details into accessible and precise insights. - Demonstrated ability to lead AI projects with technical and business team members, driving to high-quality insights and deliverables amidst ambiguity and tight timelines. - Excellent qualitative and quantitative analytical skills. - Ability to prioritize effectively and manage multiple work streams in a fast-paced environment. - A strong orientation towards outcomes, and a willingness to roll up your sleeves to get the job done. - A proven ability to work and build relationships with a wide range of people, and influence cross-functionally without direct authority. Nice to haves: - Experience with Large Language Models and Generative AI. - Degree in computer science or other STEM field, or hands-on experience with building software or machine learning systems. - Deeper domain knowledge in healthcare, life sciences, or pharma. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $192,800 - $241,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Engineering Manager - Machine Learning
Your work will change lives. Including your own. The Impact You’ll Make You will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion's drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models, you will ensure our ML models can operate at massive scale across our supercomputing infrastructure, both on prem and in the cloud. You will work cross-functionally across ML engineering, data science, and research teams to translate requirements into robust, scalable ML infrastructure solutions. In This Role You Will: - Enable AI/ML, LLM, and Agentic Systems teams for scale - The ML infrastructure team is responsible for building and operating platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion's massive datasets. With billions of compounds, 30+ petabytes of experimental data, and complex deep learning workloads, your team enables everything from automated compound screening models to clinical trial prediction systems. You will work closely with researchers and ML engineers to understand their infrastructure needs and build scalable solutions for model development, training, and deployment. - Act as a mentor, coach, and sponsor - You will share your technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering, delivering impact, learning, and growth across teams at Recursion. We believe that the best work comes from working across organizational boundaries and you will have opportunities to partner with ML research, platform engineering, and business teams. - Enable a model-driven culture - Machine learning is at the core of everything we do. You will work with stakeholders across the business to ensure our ML infrastructure supports rapid experimentation, reliable model deployment, and continuous improvement. Problems you will work on could range from optimizing GPU cluster utilization to implementing Agentic orchestration and establishing company-wide MLOps standards The Team You’ll Join: You'll be part of a group of technical leaders who work together on the craft of engineering leadership as well as debate ML system architecture, MLOps patterns, and infrastructure optimization strategies. We all work better when we have the support of those around us and are learning together to solve complex problems around model scalability, deployment reliability, and infrastructure efficiency across our teams. You will report to the Executive Director of Engineering who broadly oversees Cloud Infrastructure, High Performance Compute and Machine Learning Infrastructure space. The Experience You Will Need: - Experience in a hands-on technical role as a tech lead or a manager with a focus on infrastructure, MLOps and distributed systems. Excitement for deeply engaging in technical details with your team around machine learning, orchestration and agentic systems. - A people-first mindset. We deliver in a way that prioritizes supporting our coworkers in their growth and experience and understand how Conway's Law shapes our ML system outcomes. - Demonstrated past record of learning from and teaching peers in areas of ML infrastructure, model deployment, distributed compute, GPU optimization, and MLOps system architecture - Excitement to learn parts of our ML tech stack that you might not already know. Our current ML infrastructure includes: Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and various model serving frameworks. - Fluency in life sciences or drug discovery is a plus but not required to be considered. Working Location & Compensation: This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah . Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $151,130 to $203,490 (USD) . You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. LI-EP1 The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Technical Program Manager, Platform
As a Technical Program Manager for the Platform team, you will partner with engineering teams to directly accelerate the development and maturity of the Scale Generative AI Platform (SGP) . We are looking for a TPM who has actively built and shipped products in the past and understands how to deliver robust, scalable developer tooling and distributed systems. In this role, you will own the strategic alignment and end-to-end execution of our most critical infrastructure initiatives—from initial scoping to measurable, company-wide and customer-ready adoption. You will serve as the core communication backbone and connective tissue between platform engineering, product teams, and executive leadership. Operating in a hyper-growth, demanding AI environment, you will translate SGP’s architectural complexities into clear execution strategies , unblock engineering bottlenecks, proactively mitigate deployment risks, and ensure our foundational platforms deliver reliable, performant, and secure systems capable of global-scale deployment. Key Responsibilities - Lifecycle & Platform Delivery: Lead strategic planning and high-velocity execution for SGP core capabilities (orchestration layers, model serving, APIs). Manage features from technical scoping and architecture design through production launch. - Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. - Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features. - Risk & Dependency Mitigation: Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments, maintaining momentum despite fast-evolving AI frameworks. - Developer Velocity & Operational Excellence: Establish lightweight agile processes that empower engineers to ship fast without breaking core systems. Define and enforce clear SLOs and performance benchmarks to guarantee production-grade reliability for clients. - Metrics-Driven Adoption: Track and report on SGP adoption metrics, system reliability, delivery forecasts, and engineering bottlenecks directly to executive leadership to ensure the platform scales responsibly. Minimum Qualifications - 5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer, with a proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms). - Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems. - AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups. - Masterful Communication: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical/architectural challenges into clear business impacts. - Execution Excellence: Advanced proficiency with iterative development methodologies and modern project management tooling (Linear, Jira, etc.) applied to foundational infrastructure environments. Nice-to-Have Qualifications - Engineering Roots: Strong software engineering fundamentals, with prior professional experience as a Software Engineer, DevOps Engineer, or Data Developer before transitioning into program management. - Platform Adoption Track Record: Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate, fast-moving product lines. - Data-Centric AI Familiarity: Direct experience working with large-scale data quality pipelines, distributed vector databases, or specialized AI inference engines (e.g., Triton, Ray). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $211,200 - $264,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Technical Program Manager, Enterprise
As a Technical Program Manager , you will partner with our Frontier Agent Engineering teams on enterprise customer engagements — owning operational execution and delivery of our technical work by managing timelines, milestones, risks, and dependencies across technical deliverables. You will drive the strategic alignment and end-to-end execution of our most critical Enterprise initiatives. This is a high-leverage, technical leadership role where you will own program delivery from initial scoping to measurable, enterprise-wide adoption. You will serve as the core communication backbone and connective tissue between engineering, product, and executive leadership. You are not just managing timelines; you are accountable for systemic, measurable outcomes, driving efficiency across the full agentic application development process. Operating in a hyper-growth, demanding AI environment, you will translate technical complexity into clear execution strategies, proactively mitigate risks, and ensure our engineering teams deliver reliable, high-value solutions at scale. Key Responsibilities - End-to-End Program Ownership: Own the strategic planning, scheduling, and high-velocity execution of multiple enterprise-grade programs, ensuring on-time delivery against aggressive product goals. Run weekly cross-functional syncs, surface blockers, drive decisions. - Cross-Functional Architecture Integration: Manage complex dependencies and technical communication across core teams (e.g., Platform, Forward Deployed Engineering, Product) to seamlessly deliver frontier agents to our enterprise customers. - Technical Translation & Executive Influence: Synthesize deep technical complexities into concise, actionable insights for both engineers and C-suite stakeholders. Drive absolute clarity across the delivery team regarding priorities, risks, and strategic outcomes. - Risk & Dependency Mitigation: Proactively identify, track, and architect mitigations for technical risks unique to enterprise AI deployment, maintaining momentum in the face of ambiguity. - Process Evolution: Modernize and scale agile execution frameworks (e.g., Jira, Linear) to support rapid, iterative machine learning and software development lifecycles. - Metrics-Driven Accountability: Define, track, and report on key program health metrics, delivery forecasts, and engineering bottlenecks directly to executive leadership. Minimum Qualifications - 5+ Enterprise-Scale Experience: 5+ years of experience as a Technical Program Manager or in a technical leadership role managing complex, large-scale software engineering or machine learning development projects. - Engineering Domain Expertise: 2+ years of dedicated experience managing programs focused directly on core engineering infrastructure, platform services, or distributed systems. - AI/ML Literacy: Strong foundational understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation. - Masterful Communication: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical challenges into clear business impacts. - Execution Excellence: Advanced proficiency with iterative development methodologies and modern project management tooling (Jira, Linear, etc.). - Growth Mindset: An insatiable appetite for learning and deeply engaging with modern ML/GenAI practices and infrastructure. Nice-to-Have Qualifications - Engineering Roots: Strong software engineering fundamentals, ideally with prior professional experience as a software engineer or data developer before transitioning into program management. - Platform Adoption Track Record: Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate product lines or independent business units. - Data-Centric AI Familiarity: Direct experience working with data quality pipelines, LLM-as-a-judge evaluation frameworks, or automated RLHF systems. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $211,200 - $264,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Research Scientist, Life Sciences
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities - Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review - Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis - Work closely with product and design teams to scope, prototype, and ship features for life sciences users - Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements - Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses - Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement Minimum Qualifications - Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar - Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down - Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end - Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures) - A track record of shipping computational tools or pipelines that biologists actually use - Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment - Able to work independently while collaborating tightly with research, product, and domain-expert teams - Results-oriented with a bias toward rapid iteration and measurable impact - Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards Preferred Qualifications - 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar - Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience - Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development - Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis - Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.) - Experience building agentic systems or tool-use environments - Published research in ML for biology, or open-source contributions to computational biology tools - Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Machine Learning Engineer (Match Group AI)
-Legal Entity: Hyperconnect -Brand: Match Group AI Match Group AI 소개 Match Group AI는 온라인 데이팅의 핵심 문제를 AI로 해결하는 중앙 기술 조직입니다. 프로필, 매칭, Trust & Safety 등 사용자 경험의 핵심 영역에 집중해 과제를 발굴합니다. 이를 최신 AI 기술과 데이터 기반의 접근을 통해 해결하여 사용자 경험을 혁신합니다. 나아가 Tinder, Hinge 등 Match Group 내 글로벌 데이팅 브랜드와의 협업을 바탕으로 그룹 공통 기술 기반을 확장합니다. 팀에서 진행 중인 프로젝트를 더 자세히 알고 싶으시다면, 다음 게시글을 확인해보세요. 👉 "Match Group AI 팀을 소개합니다." Match Group AI ML Team 소개 ML Team은 Match Group의 다양한 서비스에 AI/ML 기술을 적용하는 ML Engineer로 구성된 팀입니다. 팀의 업무는 실제 제품이 만들어지고 운영되는 과정에서 발생하는 문제를 발굴하고 정의하는 것에서 시작됩니다. 문제 해결에 가장 적합한 SotA(State-of-the-Art) 모델을 개발하거나 재현하고, 완성된 모델을 모바일과 서버 환경에 안정적이고 효율적으로 배포합니다. 이후에도 지속적인 모니터링과 개선을 통해 서비스의 AI Flywheel을 구축해 나갑니다. 이 과정에서 백엔드/프론트엔드/DevOps 엔지니어, 데이터 분석가, PM 등 다양한 전문 조직과 긴밀히 협업하며 실제 사용자에게 임팩트를 주는 AI 경험을 만들어갑니다. 일하는 모습에 대한 조금 더 자세한 이야기는 다음의 내용을 참고하시면 좋습니다. - [How AI Lab Works] Head of AI - Shurain 인터뷰 - AI in Social Discovery(Blending Research and Production) 업무 성과 중 일부는 논문 또는 오픈소스 코드로 외부에 공개하기도 합니다. 제품에 사용하기 위한 목적으로 ML 모델을 만들다 보면, 기존 연구로는 부족한 경우가 많습니다. 부족한 부분을 채우기 위해 진행된 연구의 결과물을 프로젝트 참여자들이 모두 함께 협업하여 연구의 의미 있는 부분을 정돈하고, 가능하다면 코드와 함께 공개합니다. 그 결과, 지금까지 아래 성과를 포함해 약 20여 건의 대외적 연구 성과를 거둘 수 있었습니다. - 2024년 CUPID: 1:1 소셜 디스커버리 플랫폼을 위한 실시간 세션 기반 상호 추천 시스템 ICDM Workshop 발표 - 2023년 TiDAL: 효율적인 학습 과정의 모델 행동에 기반한 액티브 러닝 기법 ICCV 2023 게재 - 2023년 모더레이션 환경에서 여러 분류 기준을 동시에 만족하기 위한 문턱값을 잡는 연구 WSDM 2023 게재 - 2022년 대화 생성에서의 의미적 다양성을 높이는 연구 EMNLP 2022 게재 - 2022년 레이블 노이즈가 심한 환경에서 효과적으로 학습하는 방법 ECCV 2022 게재 - 2022년 타깃 캐릭터의 몇가지 발화만을 이용하여 타깃 캐릭터를 모방하는 챗봇연구 NAACL 2022 게재 - 2022년 대화 생성 모델에서 예시를 활용하여 성능을 높이는 연구 ACL 2022 Workshop 발표 - 2022년 모바일 환경에서 오디오 분류를 위한 distillation 기술 연구 ICASSP 게재 ML 연구가 잘 진행되기 위해서는 딥러닝 학습을 위한 인프라도 잘 갖추어져야합니다. ML engineer들이 충분히 모델 개발 및 실험을 진행할 수 있도록 자체 딥러닝 클러스터(총 160대 A100 GPU, 40대 H100 GPU)를 보유하고 있습니다. 추가적으로, 데이터 수집, 전처리를 포함한 자체적인 데이터 파이프라인을 클라우드 서비스를 활용하여 구축 및 운영하고 있습니다. 또, ML 모델의 제품화를 도와주실 다양한 software engineer(백엔드/프론트엔드/DevOps/MLSE)분들과 함께 일하고 있습니다. 담당 업무 Match Group AI의 ML Engineer는 최신 AI/ML 기술을 연구하고 적용하는 과학자이자, 실제 서비스 환경에 맞게 모델 및 시스템을 설계하고 최적화하는 엔지니어입니다. 조직에서는 다음과 같은 다양한 업무들을 담당하고 있으며, 이들 중 적어도 한 가지 업무에 대해서 능숙하게 수행하실 수 있는 분을 찾고 있습니다. - Match Group에서 서비스 중인 제품들에서 발생하는 다양한 비즈니스 문제를 해결합니다. 비즈니스 문제의 배경, 목표, 제약사항 등을 파악하여 올바른 AI/ML 문제로 재정의하고, 이를 해결하기 위한 최선의 방법론을 찾아 문제를 해결하는 과정을 수행합니다. - Match Group의 새로운 제품 및 기능 개발에 참여합니다. 아이디어 구상부터 프로토타이핑, 실제 사용자에게 도달하기까지의 과정에서 AI/ML 기술들을 활용하여 제품 및 기능을 빠르고 올바르게 구현하는 과정을 수행합니다. - 대규모 언어 모델(large language models) 및 멀티모달 모델(multimodal models) 선행연구 및 개발을 담당합니다. Match Group의 데이터와 최신 기술들을 활용하여 데이팅 도메인에 특화된 모델을 만들고, 제품의 다양한 영역에 적용시킬 수 있는 방법을 찾아가는 과정을 수행합니다. 위 업무들을 수행하기 위해 Sr. ML Engineer에게는 탄탄한 AI/ML 기초 지식과 빠른 최신 기술 습득을 기반으로 팀의 기술적 의사결정을 이끌어 갈 수 있는 역량을 기대합니다. 이러한 역량을 기반으로 주로 다음과 같은 기술적인 주제들을 주도하게 됩니다. - 텍스트, 이미지, 이벤트 로그 등을 포함하여 다양한 modality를 가진 데이터를 올바르게 다루는 방법 및 수집된 데이터의 편향 및 노이즈를 올바르게 해소하는 방법 - 제품의 목표와 정렬된 평가 지표 정의 및 목표 달성을 위한 최적의 모델 학습 방법 - 엔지니어링 제약사항 및 인프라 환경을 고려한 온디바이스 및 대규모 모델 추론 최적화 방법 Requirements AI/ML 도메인 전반에 대한 이해와 적어도 한 개 이상의 특정 도메인에 대한 깊이 있는 지식을 갖추고, 관련 분야 박사 학위 혹은 5년 이상 의 산업 프로젝트 경험, 혹은 그에 준하는 역량을 보유하고 계신 분 모호한 비즈니스 혹은 기술적인 문제가 주어졌을 때 이를 올바른 AI/ML 문제로 정의하고, 합리적인 기술적 의사결정을 바탕으로 문제를 해결하실 수 있는 분 PyTorch, Tensorflow, JAX 등의 오픈소스 프레임워크 및 전반적인 파이썬 개발을 빠르게 수행하고, 협업 및 유지보수를 위해 높은 품질의 코드를 관리하실 수 있는 분 안정성있는 ML 학습 파이프라인 및 배포 프로세스를 설계하실 수 있는 분 끊임없이 새로운 기술을 탐구하고 공유하며 팀이 높은 수준의 AI/ML 기술적 경쟁력을 갖추고 유지하도록 도와주실 수 있는 분 두 명 이상의 ML Engineer가 참여하는 AI 프로젝트에서 기술적인 의사결정을 이끌어갈 수 있으신 분 여러 직군의 이해관계자와 협업할 수 있는 뛰어난 커뮤니케이션 능력을 갖추신 분 한국어로 원활한 의사소통이 가능하고, 영어로 기본적인 의사소통이 가능하신 분 Preferred Qualifications AI/ML 관련 탑티어 학회 및 저널(NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, KDD, …) 게재 실적 혹은 관련 대회 수상 실적이 있으신 분 LLM 혹은 비슷한 규모의 모델을 대규모로 학습할 때 필요한 전체 과정을 이끌며 성과를 만들어낸 경험이 있으신 분 대규모 소프트웨어 개발 경험 및 아키텍쳐/시스템 디자인에 필요한 엔지니어링 역량을 갖추고 계신 분 A/B 테스트 실험 기획 및 타겟 KPI 지표를 올바르게 정의하고, SQL기반 데이터 분석을 전문성 있게 수행하실 수 있으신 분 인과관계 분석 및 기타 통계 기법을 사용하여 데이터에서 의미 있는 통찰력을 발굴하고 의사결정에 올바르게 적용하실 수 있는 분 엔지니어링 팀을 리드해본 경험이 있으신 분 PO/PM 혹은 그에 준하는 경험이 있으신 분 영어로 실시간 비즈니스 의사소통을 능숙하게 수행하실 수 있는 분 Hiring Process 고용 형태: 정규직 채용 절차: 서류전형 > 사전 과제 > Live Coding Interview > 기술 면접 > 기술 심화 및 Cultural Alignment 면접 > 최종합격 (* 필요 시 전형이 변경 진행될 수 있습니다.) 서류 전형의 경우 합격자에 한하여 개별 안내드릴 예정입니다. 지원 서류: 자유 양식의 상세 경력기반 영문이력서(PDF) 이 포지션은 전문연구요원 현역 편입/전직, 전문연구요원 보충역 편입/전직 채용이 가능합니다. 병역특례요원의 경우, 병역특례 관련법에 따라 복무관리를 진행합니다.
Machine Learning Engineer (Match Group AI | 전문연구요원...
-Legal Entity: Hyperconnect -Brand: Match Group AI Match Group AI 소개 Match Group AI는 온라인 데이팅의 핵심 문제를 AI로 해결하는 중앙 기술 조직입니다. 프로필, 매칭, Trust & Safety 등 사용자 경험의 핵심 영역에 집중해 과제를 발굴합니다. 이를 최신 AI 기술과 데이터 기반의 접근을 통해 해결하여 사용자 경험을 혁신합니다. 나아가 Tinder, Hinge 등 Match Group 내 글로벌 데이팅 브랜드와의 협업을 바탕으로 그룹 공통 기술 기반을 확장합니다. 팀에서 진행 중인 프로젝트를 더 자세히 알고 싶으시다면, 다음 게시글을 확인해보세요. 👉 "Match Group AI 팀을 소개합니다." Match Group AI ML Team 소개 ML Team은 Match Group의 다양한 서비스에 AI/ML 기술을 적용하는 ML Engineer로 구성된 팀입니다. 팀의 업무는 실제 제품이 만들어지고 운영되는 과정에서 발생하는 문제를 발굴하고 정의하는 것에서 시작됩니다. 문제 해결에 가장 적합한 SotA(State-of-the-Art) 모델을 개발하거나 재현하고, 완성된 모델을 모바일과 서버 환경에 안정적이고 효율적으로 배포합니다. 이후에도 지속적인 모니터링과 개선을 통해 서비스의 AI Flywheel을 구축해 나갑니다. 이 과정에서 백엔드/프론트엔드/DevOps 엔지니어, 데이터 분석가, PM 등 다양한 전문 조직과 긴밀히 협업하며 실제 사용자에게 임팩트를 주는 AI 경험을 만들어갑니다. 일하는 모습에 대한 조금 더 자세한 이야기는 다음의 내용을 참고하시면 좋습니다. - [How AI Lab Works] Head of AI - Shurain 인터뷰 - AI in Social Discovery(Blending Research and Production) 업무 성과 중 일부는 논문 또는 오픈소스 코드로 외부에 공개하기도 합니다. 제품에 사용하기 위한 목적으로 ML 모델을 만들다 보면, 기존 연구로는 부족한 경우가 많습니다. 부족한 부분을 채우기 위해 진행된 연구의 결과물을 프로젝트 참여자들이 모두 함께 협업하여 연구의 의미 있는 부분을 정돈하고, 가능하다면 코드와 함께 공개합니다. 그 결과, 지금까지 아래 성과를 포함해 약 20여 건의 대외적 연구 성과를 거둘 수 있었습니다. - 2024년 CUPID: 1:1 소셜 디스커버리 플랫폼을 위한 실시간 세션 기반 상호 추천 시스템 ICDM Workshop 발표 - 2023년 TiDAL: 효율적인 학습 과정의 모델 행동에 기반한 액티브 러닝 기법 ICCV 2023 게재 - 2023년 모더레이션 환경에서 여러 분류 기준을 동시에 만족하기 위한 문턱값을 잡는 연구 WSDM 2023 게재 - 2022년 대화 생성에서의 의미적 다양성을 높이는 연구 EMNLP 2022 게재 - 2022년 레이블 노이즈가 심한 환경에서 효과적으로 학습하는 방법 ECCV 2022 게재 - 2022년 타깃 캐릭터의 몇가지 발화만을 이용하여 타깃 캐릭터를 모방하는 챗봇연구 NAACL 2022 게재 - 2022년 대화 생성 모델에서 예시를 활용하여 성능을 높이는 연구 ACL 2022 Workshop 발표 - 2022년 모바일 환경에서 오디오 분류를 위한 distillation 기술 연구 ICASSP 게재 ML 연구가 잘 진행되기 위해서는 딥러닝 학습을 위한 인프라도 잘 갖추어져야합니다. ML engineer들이 충분히 모델 개발 및 실험을 진행할 수 있도록 자체 딥러닝 클러스터(총 160대 A100 GPU, 40대 H100 GPU)를 보유하고 있습니다. 추가적으로, 데이터 수집, 전처리를 포함한 자체적인 데이터 파이프라인을 클라우드 서비스를 활용하여 구축 및 운영하고 있습니다. 또, ML 모델의 제품화를 도와주실 다양한 software engineer(백엔드/프론트엔드/DevOps/MLSE)분들과 함께 일하고 있습니다. 담당 업무 Match Group AI의 ML Engineer는 최신 AI/ML 기술을 연구하고 적용하는 과학자이자, 실제 서비스 환경에 맞게 모델 및 시스템을 설계하고 최적화하는 엔지니어입니다. 조직에서는 다음과 같은 다양한 업무들을 담당하고 있으며, 이들 중 적어도 한 가지 업무에 대해서 능숙하게 수행하실 수 있는 분을 찾고 있습니다. - Match Group에서 서비스 중인 제품들에서 발생하는 다양한 비즈니스 문제를 해결합니다. 비즈니스 문제의 배경, 목표, 제약사항 등을 파악하여 올바른 AI/ML 문제로 재정의하고, 이를 해결하기 위한 최선의 방법론을 찾아 문제를 해결하는 과정을 수행합니다. - Match Group의 새로운 제품 및 기능 개발에 참여합니다. 아이디어 구상부터 프로토타이핑, 실제 사용자에게 도달하기까지의 과정에서 AI/ML 기술들을 활용하여 제품 및 기능을 빠르고 올바르게 구현하는 과정을 수행합니다. - 대규모 언어 모델(large language models) 및 멀티모달 모델(multimodal models) 선행연구 및 개발을 담당합니다. Match Group의 데이터와 최신 기술들을 활용하여 데이팅 도메인에 특화된 모델을 만들고, 제품의 다양한 영역에 적용시킬 수 있는 방법을 찾아가는 과정을 수행합니다. 위 업무들을 수행하기 위해 ML Engineer에게는 탄탄한 AI/ML 기초 지식뿐만 아니라 최신 기술을 빠르게 학습 및 도입할 수 있는 적응력을 기대합니다. 이러한 역량을 기반으로 주로 다음과 같은 기술적인 주제들을 접하게 됩니다. - 텍스트, 이미지, 이벤트 로그 등을 포함하여 다양한 modality를 가진 데이터를 올바르게 다루는 방법 및 수집된 데이터의 편향 및 노이즈를 올바르게 해소하는 방법 - 제품의 목표와 정렬된 평가 지표 정의 및 목표 달성을 위한 최적의 모델 학습 방법 - 엔지니어링 제약사항 및 인프라 환경을 고려한 온디바이스 및 대규모 모델 추론 최적화 방법 Requirements AI/ML에 대한 기본 지식과 적어도 한 개 이상의 특정 도메인에 대한 깊이 있는 지식을 갖추고, 관련 프로젝트 경험이 있으신 분 Exploratory Data Analysis(EDA)를 통해, 데이터의 통계적 특성과 패턴을 발견하고 이를 문제 해결 과정에 반영하실 수 있는 분 PyTorch, Tensorflow, JAX 등의 오픈소스 프레임워크 및 전반적인 파이썬 개발에 능숙하신 분 ML 모델 학습 파이프라인 구축 및 배포 과정에 필요한 엔지니어링 역량을 갖추신 분 AI 기술의 서비스화에 관심이 많으신 분 한국어로 원활한 의사소통이 가능하고, 영어로 작성된 기술문서 이해, 작성 및 비대면 소통이 가능하신 분 학위/국적 무관 Preferred Qualifications AI/ML 관련 탑티어 학회 및 저널(NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, KDD, …) 게재 실적 혹은 관련 대회 수상 실적이 있으신 분 대규모 학습 데이터와 컴퓨팅 자원을 활용하여 LLM 혹은 비슷한 규모의 모델을 학습시켜 성능을 끌어올린 경험이 있으신 분 클라이언트(Android, iOS), 백엔드를 포함해 AI 분야 외 프로젝트 개발 경험이 있으신 분 실제 서비스에 AI 기술을 적용하여 주요 비즈니스 지표를 유의미하게 향상시켜 본 경험이 있으신 분 A/B 테스트 실험 기획 및 타겟 KPI 지표를 정의하고, SQL기반 데이터 분석을 진행한 경험이 있으신 분 영어로 실시간 비즈니스 의사소통을 능숙하게 수행하실 수 있는 분 Hiring Process 고용 형태: 정규직 채용 절차: 서류전형 > 사전과제 > Live Coding Test 면접 > 기술 면접 > 기술 심화 및 Cultural Alignment 면접 > 최종합격 (* 필요 시 전형이 변경 진행될 수 있습니다.) 서류 전형의 경우 합격자에 한하여 개별 안내드릴 예정입니다. 지원 서류: 자유 양식의 상세 경력기반 영문이력서(PDF) 이 포지션은 전문연구요원 현역 편입/전직, 전문연구요원 보충역 편입/전직 채용이 가능합니다. 병역특례요원의 경우, 병역특례 관련법에 따라 복무관리를 진행합니다.
LLM & AI search Discoverability Manager
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for an LLM & AI search Discoverability Manager to shape how Flo is represented across AI systems. This role sits at the intersection of PR, community, content, and AI, owning how our brand is understood, surfaced, and recommended by large language models. Your Main Tasks Will Be Own and optimize Flo’s presence across AI-generated search environments (e.g. ChatGPT, Gemini), ensuring accurate, high-quality brand representation. Monitor how Flo is represented across AI systems, identify gaps or misrepresentation, and proactively act to correct them Build and manage Flo’s reputation across authoritative sources used by LLMs, including Reddit, Quora, and Wikipedia Own Wikipedia strategy and governance, ensuring accuracy, neutrality, and strong positioning as a primary AI citation source Rework and structure Flo’s website as an AI-native source, creating content that answers real user queries and is consistently surfaced in LLM responses Strengthen Flo’s presence in mid-funnel LLM conversations, ensuring the brand is preferred in comparison and evaluation queries Leverage Reddit and Quora as both reputation and discovery channels, shaping narratives and driving qualified organic traffic Build and scale systems for generating and managing external signals (reviews, discussions, third-party content) that influence how LLMs interpret the brand Partner cross-functionally with PR, Product, Social, Customer Support, and Marketing to align messaging and ensure consistency across all external touchpoints We Expect From You 3+ years of experience in online reputation, digital PR, content, or related roles Hands-on experience with or strong understanding of Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO), including how LLMs source, weight, and surface information Understanding of how LLMs source and surface information Hands-on experience with platforms like Reddit, Quora, and Wikipedia Experience shaping brand perception across external, non-owned platforms Strong analytical mindset, connecting reputation signals to business impact Ability to build systems and scale processes, not just execute tasks Strong cross-functional collaboration skills and comfort in fast-moving environments #LI-Hybrid How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .
AI Prompt Specialist
Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols. We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). *A select number of positions require full-time in office attendance* We are seeking a creative and technically skilled AI Artist to join our team. The primary responsibility of this role is to design, craft, and optimize text prompts for AI models to generate diverse and engaging video scenes. You will collaborate closely with our content, production, and engineering teams to ensure the highest quality and creativity in AI-generated video content. What you’ll be doing: Develop, refine, and test text prompts for AI models to generate a wide variety of video scenes, primarily for adult entertainment. Collaborate with creative directors, producers, and technical teams to understand content requirements and desired outcomes based on specific Brand. Analyze and iterate on AI outputs, providing feedback and making prompt adjustments to achieve optimal results. Stay up to date with the latest advancements in AI video generation technology and prompt engineering techniques. Document best practices and contribute to building a prompt library for future use. Ensure all generated content aligns with Aylo's brand, quality standards, and compliance requirements. Participate in regular creative brainstorming sessions to generate innovative concepts for AI-generated content that meets audience preferences and engagement goals. What you’ll need to be successful: Must Haves: Bachelor degree in business, engineering, creative writing or other relevant education or relevant experience. 2+ years of experience in a similar role. Proven experience with generative AI tools (e.g., Stable Diffusion, Midjourney, Runway, Pika, Sora, etc.), with a focus on video or multimedia content. Proven success creating effective AI prompts. Strong creative writing and storytelling skills; ability to translate creative concepts into effective AI prompts. Understanding of prompt engineering and the nuances of guiding AI models for desired results. Ability to work independently, manage multiple projects, and meet deadlines in a fast-paced environment. Nice to haves: Stable diffusion is a strong asset. Familiarity with adult content creation and sensitivity to the unique challenges and standards of the industry. Experience with scripting or programming languages (Python, etc.) for AI workflow automation. Background in visual arts, film production, or animation. Portfolio of AI-generated media or prompt engineering work. As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees In this role you may be exposed to adult content
Senior Data Scientist
Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma’s free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc’s Best Workplaces in 2022 and 2023. Website Job Board Values Candidate Interview Guide --- Senior Data Scientist I, Analytics The Data Science team helps Alma achieve its mission by leveraging data to inform business strategy and drive product innovations. We are looking for a Senior Data Scientist to join the Client Experience team to make searching for the right therapist a seamless experience. In this role, you will apply your expertise in analytics and experimentation to solve challenging problems including conversion funnel optimization, search ranking, and client-provider matching. You will collaborate with a diverse cross-functional team of product managers, software engineers, and designers to define and execute on the Client Experience product roadmap. What you’ll do: Generate insights through deep-dive analysis to inform strategy and prioritization Define metrics and create dashboards to measure product performance Design, execute, and analyze A/B testing experiments to validate product hypotheses Collaborate with product, engineering, and marketing stakeholders to define the product roadmap Identify opportunities and initiate new data science projects that drive company OKRs Communicate technical insights effectively to influence decision-making Who you are: You have 2-4+ years of experience as a data scientist supporting product development You have a Master’s degree in a relevant quantitative field (e.g., data science, computer science, statistics, economics) or equivalent in industry experience You are an expert in SQL You are proficient in either R or Python for data analysis You have experience designing and analyzing A/B testing experiments and guiding product decisions with experimental insights You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch Benefits: We’re a remote-first company Health insurance plans through Aetna (medical and dental) and MetLife (vision), including FSA and HSA plans 401K plan (ADP) Lifestyle Spending Account for health, wellness, and family care Monthly co-working space membership stipend Monthly work-from-home stipend Financial wellness benefits through Northstar Pet discount program through United Pet Care Financial perks and rewards through PerkSpot EAP access through Aetna One-time home office stipend to set up your home office Inclusive family and medical leave plans 12 paid holidays and 1 Alma Give Back Day Flexible PTO Salary Band: $159,000 - $179,000 All Alma jobs are listed on our careers page. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information throughout the recruiting process. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with a helloalma.com email address. Learn more about how Alma handles applicant data by reading Alma's Applicant Privacy Notice .
Senior AI/ML engineer
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Senior Software Engineer with deep expertise in AI/ML infrastructure to join our AI Platform team and help build the GenAI platform that powers every AI feature at Flo. You will bridge core infrastructure, data engineering, and LLM development to deliver production-grade medical safety judges, fine-tuning pipelines, evaluation frameworks, and real-time personalisation. The team operates 60+ LLM-based evaluation judges, develops proprietary fine-tuned health models, and maintains active partnerships with Databricks, Google, OpenAI, Anthropic, and AWS. What you’ll do LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation orchestration using MLflow 3.x Fine-Tuning and Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain models (Llama, Gemma, MedGemma) and manage model serving at scale on Databricks Data and Evaluation Pipelines: build synthetic Q&A generation, golden test sets, reward function engineering, and Delta table schemas in Unity Catalog for reliable, reproducible evaluation data Infrastructure: maintain Terraform-managed AWS infrastructure (EKS, S3, IAM), Databricks AI Gateway, and CI/CD pipelines (GitHub Actions) with evaluation gates and progressive rollout Cross-Functional Impact: collaborate with Product, Security, Analytics, and Medical teams, develop internal SDKs and APIs consumed by 5+ teams, and engage directly with technology partners on pre-release capabilities Experience and skills Must have: Engineering maturity: 7+ years of software engineering, 4+ years focused on ML/AI platforms LLM experience: recent hands-on work with at least one of: fine-tuning, prompt engineering, LLM evaluation, or model serving Technical stack: strong Python across production services and data pipelines, data engineering fundamentals (Spark, Delta tables, Parquet) Platform and infrastructure: Databricks (MLflow, Unity Catalog, Model Serving), AWS (EKS/Kubernetes, IAM), Terraform, GitHub Actions Cross-domain flexibility: comfort working across ML, data engineering, and infrastructure. You don’t need to be expert in all three, but you contribute wherever the team needs it Nice to have: LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation) ML data engineering: synthetic data generation, evaluation dataset design, annotation pipelines Healthcare, regulated industry, or safety-critical AI systems experience Prompt optimisation frameworks (DSPy or similar), feature stores (Tecton) #LI-KP1 #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £120,000 - £150,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .
Staff Software Engineer, AI Engineer
Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday About Midi Health Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care. How We Work Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely. AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software. Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth. Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands. The Difference You Will Make You'll set the direction for how Midi builds with AI — across clinical workflows, patient experience, and operational intelligence. You'll own the architecture of our AI systems, the evaluation practices that keep them safe, and the standards that let every engineer at Midi ship AI features confidently. This is the role for someone who wants to define what AI engineering looks like in a modern healthcare company. What You Will Do Lead technical strategy for AI/LLM systems across Midi's product surfaces Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production Set the standards for AI safety, evaluation, observability, and responsible rollout in a healthcare context Partner with clinical, product, and executive leadership to shape the AI roadmap Mentor senior and mid-level engineers into strong AI engineers; raise the AI literacy of the whole org Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team About You 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems Seasoned hands-on coder; still writes production Python regularly Seasoned system designer for AI systems at scale — retrieval, agents, evaluation, latency, and cost Authority in AI engineering: teams and leaders defer to your judgment, and you can defend it rigorously Leader at the AI frontier: you set how the team uses AI tooling and how we build AI products Seasoned mentor; you've grown engineers into strong AI builders Strong communicator with product, clinical, and executive stakeholders; thoughtful about risk and safety tradeoffs Low-ego, curious, humble Nice to Have Healthcare, clinical NLP, or regulated AI deployment experience Track record of shipping agentic or large-scale RAG systems in production Interview Process Recruiter Screen (30 min) Hiring Manager Screen (45 min) Live Technical Assessment (3 sessions: 150 min) On-Site Interview and Lunch (4 sessions: 150 min) While you are waiting for us to review your resume, here is some fun content to check out. Midi 2024 in Review Women Leaders Invest in Midi Patient Testimonials At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $210,000-$260,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company, We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process. #li-ps1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .
Senior Software Engineer, AI Engineer
Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday About Midi Health Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care. How We Work Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely. AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software. Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth. Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands. The Difference You Will Make AI is reshaping how clinical care is delivered, and Midi is building the products at the frontier of that shift. You'll build AI-powered features and systems that genuinely change clinician and patient experience — from clinical workflow automation to patient-facing assistants to back-office intelligence — grounded in the realities of healthcare-grade safety and evaluation. What You Will Do Design, build, and ship LLM-powered features end-to-end: prompt design, retrieval, tool use, agents, evaluation, and production operations Build the evaluation harnesses and feedback loops that let us ship AI features responsibly Integrate AI capabilities deeply into patient, clinician, and operational workflows Partner with clinical, product, and safety stakeholders to define what "good" looks like Contribute to our internal AI-for-engineering practices and tooling Stay close to the research and ecosystem; bring the best of it back to the team About You 6+ years of software engineering experience, with meaningful recent time building production LLM / ML features Strong hands-on coding skills in Python; comfortable across the full stack when the feature demands it Seasoned at system design for AI systems: retrieval, orchestration, caching, evaluation, cost and latency tradeoffs Deep, hands-on command of modern AI coding tools — you're a strong follower of the frontier and apply new techniques quickly Good mentorship instincts; generous with what you learn Rigorous about evaluation and safety; allergic to vibes-only launches Strong communicator; comfortable explaining model behavior to non-technical stakeholders Low-ego, curious, humble Nice to Have Experience with healthcare, clinical NLP, or regulated AI deployments Experience building agentic systems or production RAG at scale Interview Process Recruiter Screen (30 min) Hiring Manager Screen (45 min) Live Technical Assessment (3 sessions: 150 min) On-Site Interview and Lunch (4 sessions: 150 min) While you are waiting for us to review your resume, here is some fun content to check out. Midi 2024 in Review Women Leaders Invest in Midi Patient Testimonials At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $170,000-$210,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company, We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process. #li-ps1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .
Principal AI Learning & Enablement Partner
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and business operations – connecting brand-level innovation with scaled enablement across Match Group. You will partner closely with AI Brand Leads, business leaders, and functional teams to translate emerging AI capabilities into practical, role-specific applications that drive meaningful behavior change. This role plays a critical part in ensuring employees move beyond basic usage to more advanced, integrated applications of AI in their day-to-day work. This is not a traditional L&D role. It is a cross-brand enablement role focused on surfacing what’s working, scaling best practices, and accelerating adoption across a decentralized ecosystem. This role may travel to key hub cities including Dallas, LA, New York, Vancouver, and Paris. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best teams, so we work together IRL in our LA, Palo Alto, or San Francisco office 3 days/week. What You'll Do Shape the AI Enablement Strategy This role is built for someone who wants to actively shape how AI takes hold at Match Group — not just execute on requests, but bring real perspective. You'll help translate business priorities into a phased, practical roadmap and be a genuine thought partner in how the company moves forward. Develop and maintain a company-wide AI learning roadmap, identifying where AI can create the most meaningful business impact across functions Serve as a strategic advisor to business leaders, translating organizational goals into targeted AI priorities and phased adoption plans Synthesize signals from across the business (adoption trends, emerging tools, team needs) to inform and evolve the enablement approach Influence how Match Group thinks about AI as a competitive capability — not just a productivity tool — and help shape the long-term vision for an AI-native workforce Partner with Business Leaders to Drive Impact Build trusted relationships with senior leaders and functional teams to understand their highest-priority challenges and co-create AI solutions Lead discovery and scoping conversations that translate business problems into concrete AI use cases with measurable outcomes Act as the connective tissue between technical capabilities and business needs — bridging what's possible with what matters Drive alignment across stakeholders on adoption priorities, sequencing, and success metrics Build & Activate AI Capability Across the Organization Own the middle layer of AI enablement — the space between introductory training and deep technical work — where real behavior change and workflow integration happen Design and deliver hands-on learning experiences grounded in real business scenarios, moving employees from basic usage to advanced, integrated application Build scalable resources — playbooks, prompt libraries, workflows, toolkits — that embed AI into how people actually work Close adoption gaps by identifying underutilizing teams and designing targeted enablement approaches, especially for non-technical employees and late adopters Partner with and coordinate internal SMEs and external vendors to deliver high-quality, role-specific training— this role enables teams to execute, it doesn’t deliver everything itself Track adoption and impact: usage, behavior change, and efficiency gains Embed AI into Talent & Culture Identify strategic opportunities to integrate AI into core Talent & Culture programs, including learning, performance management, and career development Influence how Talent Management and Learning programs are redesigned with AI at their core — from AI-supported goal setting and development planning to feedback and coaching Experiment with and scale AI-enabled solutions that meaningfully improve efficiency and employee experience Inform Tool Adoption (Advisory Role) Provide the AI Council with practical, employee-centered perspectives on AI tool adoption, scalability and usability based on business needs and employee experience Advise on pilot and rollout strategies by bringing an enablement, adoption and employee experience perspective to tool evaluations Gather and synthesize employee feedback, usage insights and adoption considerations to help inform rollout decisions and guidance Translate the capabilities of vetted, approved tools into practical workflows, use cases and enablement resources Build the AI Enablement Ecosystem Architect and maintain a centralized AI enablement hub — a go-to resource for best practices, self-serve learning, and just-in-time guidance Curate external learning resources and vendor partnerships that accelerate capability building at scale Ensure content evolves continuously alongside new tools and internal use cases Champion Responsible AI Partner with Legal, IT, and Communications to ensure all enablement includes clear, practical guidance on responsible and safe AI use Align enablement efforts with internal governance and tool policies Support structured onboarding and learning rollout for new AI tools Measure What Matters Define and track adoption, engagement, and effectiveness metrics that demonstrate business impact — not just activity Use data and feedback to continuously sharpen the strategy and improve the quality of enablement Share insights and adoption trends with senior leaders to inform ongoing investment decisions What We're Looking For 7+ years of experience spanning AI, product, strategy, enablement, learning & development, or a related field — with a track record of driving organizational change Demonstrated experience influencing senior leaders and driving cross-functional alignment without formal authority Experience building or owning a strategic roadmap — whether for a product, capability, or organizational initiative Hands-on fluency with AI tools (e.g., Claude, Glean, Cursor, Gemini, ChatGPT) and a genuine curiosity about what's coming next Strong ability to translate technical capabilities into business language and practical, role-specific workflows Proven ability to move organizations from awareness to adoption — identifying gaps, designing interventions, and measuring outcomes Comfortable operating in ambiguity as a first-of-kind role; able to build structure and momentum without a pre-existing playbook Experience working with or enabling technical teams (e.g., Engineering, Product, Data) alongside business and people functions Nice to Haves Experience working in a multi-brand or global tech organization Background in engineering, AI systems, digital transformation, or learning strategy Familiarity with agentic frameworks, automation tools, or AI workflow design
Manager, Data Science, Marketing Analytics
At Match Group, we help millions of singles find meaningful relationships through our diverse portfolio of brands, including Match, Hinge, OkCupid, Plenty of Fish, and more. With a presence in over 190 countries, our reach is expansive-and growing fast. We're driven by a shared mission: to spark connections that transform lives. From behavioral science to machine learning, we apply deep thinking and innovative approaches to the complex dynamics of human connection. The Team: Match Group’s Analytics Team is looking for a Manager, Data Science with expertise in Marketing Analytics. Our analytics team serves the entire MG portfolio, acting as a center of excellence to standardize how we measure marketing performance across all our global brands, including industry leading names like Tinder and Hinge. We develop a deep understanding of the business and its data and establish close working relationships with all teams—including Product, Marketing, Engineering, and Finance—so that we can provide recommendations and make proposals regarding prioritization of initiatives, marketing investments, A/B tests, and company performance. As a data scientist in this role, you will partner with Marketing teams at each of our BUs, providing support through advanced marketing measurement techniques, A/B test design and analysis, and data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, statistics, econometric modeling, and A/B testing, as well as the ability to work in cross-functional teams to drive actionable insights. Experience with user growth and acquisition across multi-brand consumer products is a plus. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life. We think the same is true for creating the best platforms, so we work together IRL in our Vancouver office three days a week. How you’ll make an impact: Master and be responsible for analyzing marketing responsiveness and business performance. Build industry leading models to better understand the impact of our marketing investments and strategy. Find the “story” in the data and communicate insights and opportunities with executives and other internal teams. Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, build reporting infrastructure, and assist in making budgeting recommendations to optimize growth. Integrate captured event data with other customer data sources, such as surveys, ad publishers, and app store data. Support reporting and business intelligence needs of the entire Marketing team. We may be a Match if: 5+ years of relevant experience in analytics or data science. Experience building Marketing Mix Models (MMM) and other marketing measurement techniques Ability to think objectively and interpret meaningful themes from quantitative and qualitative data Ability to build constructive and effective relationships with a broad and diverse group of business partners Ability to execute complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions Proficiency with SQL required Strong coding capabilities, preferably in Python. Familiarity with BI concepts and tools, including data pipeline orchestration and dashboard creation Knowledge of statistics, specifically experimental design and analysis Proficiency in Microsoft Excel and Microsoft PowerPoint (or equivalents). Familiarity with common marketing KPIs, metrics, and growth experiments
Staff Software Engineer, AI/ML
Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: Fortune Change the World (2024) CNBC Disruptor 50 List (2022, 2023, 2024) Fortune Best Workplaces for Millennials (2024) Fortune Best Workplaces in Health Care (2024) TIME 100 Most Influential Companies (2023) Fast Company Most Innovative Companies (2020, 2023) Built In Best Places to Work (2023) Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) Great Place to Work certified (2020, 2021, 2022, 2023, 2024) Fast Company Best Workplaces for Innovators (2022) Built In LGBTQIA+ Advocacy Award (2022) As a Staff ML/AI Engineer at Maven, you will: Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences. Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers. Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance. Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization. Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models. Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency. Stay on the pulse of the evolving LLM and applied AI landscape, continuously exploring how to bring cutting-edge advancements into Maven’s platform. We're looking for you to bring: A strong track record in either: Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact. Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar. A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions. Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.). Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them. Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows. A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes. Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Minimum of 8 years of experience in backend development, platform architecture and ML/AI platform or products, with a proven track record of building highly scalable, performant, and reliable systems with modem technologies. The base salary range for this role is $220,000 - $300,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics. Whole-self care through wellness partnerships Hybrid work, in office meals, and work together days 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+) Annual professional development stipend and access to a personal career coach through Maven for Mavens 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g jsmith@mavenclinic.com). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: security@mavenclinic.com . For general and additional inquiries, please contact us at careers@mavenclinic.com .
機械学習エンジニア（Machine Learning Engineer）
エウレカは、真剣にパートナーを見つけたいと考えている方に向けた恋活・婚活マッチングアプリ「Pairs（ペアーズ）」を運営している会社です。Pairsは、日本国内で累計登録数2,700万以上の日本最大級のオンラインデーティングアプリです。 2012年に日本版、2013年に台湾版・2025年に韓国版のサービス開始して以来、順調に成長を続け、70万人以上の方がPairsでお相手を見つけています。 2015年には、世界中でオンラインデーティングアプリを展開するMatch Groupにジョインし、私たちのミッションである「人生に”あってよかった”と思ってもらえるものを」を実現するため、日本国内だけでなく、グローバルで更なる成長を目指しています。 "Pairs" is an online dating app used by more than 27 million people in Japan. Since launch, we have received success stories from over 700,000 people. Pairs is the first-in-market to offer 24/7 in-house customer service, including text and image monitoring, so our users' safety and security are always ensured. We created Pairs to help singles discover new and interesting ways to find a life partner. In the United States, more than 1 in 3 couples met their partner online. In Japan more than 70 per cent of singles claim to have no partner. As the number 1 online dating service in Japan, we're working hard every day to help singles find their true love. Since the release of Pairs in October 2012, we have helped to create opportunities for many users to find partnership and marriage. Pairs offers the opportunity to find an ideal partner that matches one's own values through various search features and a well-developed MyTag. Everyday, we receive many reports of successful matches from across Japan and from overseas. It is our hope that more and more opportunities for wonderful relationships will be created, which inspires us to improve our service every day. 実際の業務内容： 機械学習エンジニアとして、推薦や検索、自然言語処理や画像処理とその結果がシステムの中心となるプロジェクトに携わり、特に embeddings / vector search を用いた近傍検索、candidate generation / retrieval を含む推薦・検索機能の改善を通じて、プロダクトチームがそれらの結果を正しく利用し継続的にプロダクト指標を改善できる状態に導くこと。 As a Machine Learning Engineer, you will work on projects where recommendation, search, NLP, and image processing are core to the system. You will focus on improving recommendation and search functionalities - particularly through embeddings, vector search, and retrieval (including candidate generation) - to enable product teams to effectively leverage these outputs and continuously drive product KPI improvements. 仕事の進め方： 機械学習エンジニアとしてプロダクトチームと共に企画段階からコミットし、プロジェクトの目的や評価指標、何をアウトカムとするかの定義からプロダクトマネージャを支援する。 ハンズオンで分析及び概念実証を行い、プロトタイプを作成し、プロジェクト内外の理解を深めることで説明責任を果たしながら成功確率を高める。 性能（精度、UXに影響する処理速度等）、コスト、リードタイムなどのトレードオフを意識しながら機械学習コンポーネントを含むシステムの技術選定、設計、実装を行う。 専用の情報共有ツールを使って、ノウハウや議事録などの情報共有を行う。 Partner closely with product teams from the early planning stage, supporting Product Managers in defining project objectives, success metrics (KPIs) and expected outcomes; Conduct hands-on analysis and proof of concept (PoC), build prototypes, and drive alignment across stakeholders by improving understanding of the solution and its impact; Design and implement ML-driven systems while balancing trade-offs across model performance (e.g., accuracy, latency impacting UX), cost and development lead time; Actively document and share knowledge, insights, and decisions using internal collaboration tools (e.g., documentation, meeting notes). 仕事から得られるもの： 国内最大級のオンラインデーティングサービスのデータを用いた機械学習を含む機能開発に企画段階からプロダクトチームと共に関わり、最適解を実現する為の過程で得られる知識とテクニカルスキル エウレカでは技術選択は全て開発者が責任を持って行っており、必要に応じて最新技術も積極的に活用できます サービスマインドの高いメンバーが多く、あるべき姿を議論しながら、調整力、コミュニケーションスキル、解決力を磨くことができます 定性・定量のバランスを持った高度で本質的なデータ・ドリブン組織の推進・実務経験 外資系IT企業ならではの論理性、圧倒的スピードのある開発経験 英語力（親会社や外国籍メンバーとのコミュニケーションのため英会話学習をサポート。また、社内メンバーの国籍は、台湾・韓国・フィリピン・オーストラリア・イギリス・アメリカ・フランスと多種多様です） 開発を通した社会貢献（晩婚化問題、少子化問題、人生における自由な選択etc.） Work on machine learning–driven feature development using data from one of the largest online dating services in Japan, collaborating with product teams from the planning stage, and gaining knowledge and technical skills through delivering optimal solutions; At Eureka, engineers own technology decisions and are empowered to adopt the latest technologies as needed; Work with highly service-oriented team members and develop coordination, communication, and problem-solving skills through discussions on best practices; Gain hands-on experience in driving a truly data-driven organization that balances both qualitative and quantitative perspectives; Experience the logical thinking and high-speed execution typical of a global IT company; Improve English skills through communication with global stakeholders and international team members across Match Group(English learning support is provided); Contribute to social impact through product development (e.g., addressing declining birth rates, delayed marriage, and enabling freedom of choice in life). 使っているツール/環境： 開発言語：Python, Go データベース：BigQuery, Amazon Aurora MySQL, DynamoDB, Redis, Elasticsearch データ処理：Google Cloud Vertex AI, Google Cloud Dataflow, Cloud Pub/Sub, Fluentd, Fluent Bit, dbt, Dagster etc BIツール：Tableau, Superset 構成管理：Terraform 開発、その他：GitHub, Slack, Jira, Confluence Google Workspace 各種ツール：Google Sheets / Google Slides AIツール：ChatGPT Enterprise / Codex, Claude Code, Cursor, Gemini(Google Workspace),, その他自社開発AIツール及びプラグイン LLM運用 / 監視：Langfuse(self-hosted) インフラ：AWS/Google Cloud 各種サービス Programming Languages: Python, Go Databases: BigQuery, Amazon Aurora MySQL, DynamoDB, Redis, Elasticsearch Data Processing: Google Cloud Vertex AI, Dataflow, Pub/Sub, Fluentd, Fluent Bit, dbt, Dagster, etc. BI Tools: Tableau, Superset Infrastructure as Code: Terraform Development & Collaboration: GitHub, Slack, JIRA, Confluence Google Workspace: Google Sheets, Google Slides AI Tools: ChatGPT Enterprise, Codex, Claude Code, Cursor, Gemini (Google Workspace), as well as internally developed AI tools and plugins LLM Observability / Monitoring: Langfuse (self-hosted) Infrastructure: AWS and Google Cloud services 必須条件： 次の一般的なソフトウェアエンジニアとしての知識・スキル・経験を持っていること： WebApp開発の知識、スキル 一般的なWebアプリケーションの大まかな構成を理解していること バックエンドアプリケーションの開発経験（設計及び実装）（Sr. Backend engineer レベルであると尚可） ルタイムの業務経験最低2年以上 General knowledge, skills, and experience as a software engineer, including: Web application development Understanding of overall web application architecture; Backend development experience (design and implementation); experience at a Senior Backend Engineer level is a plus; Minimum of 2 years of full-time professional experience. 検索、推薦のいずれかをコアコンポーネントとするソフトウェア開発プロジェクトに携わり、継続的に改善した経験： 例: ECにおける商品推薦、ジョブマッチングにおける求人票 / 候補者推薦、embeddings / vector search を用いたユーザーベクトル近傍検索による推薦改善、candidate generation / retrieval の改善、Elasticsearch / Solr を用いた検索システムの結果改善をはじめとした運用 コンポーネント自体はマネージドサービスでも可 経験ドメインがtwo-sided marketであると尚可 Experience working on and continuously improving software systems where search or recommendation is a core component: E.g.,product recommendation in e-commerce, job/candidate matching, improving recommendations using nearest-neighbor retrieval over user embeddings/vector, optimizing candidate generation/retrieval, and improving search results using Elasticsearch/Solr; Managed services are acceptable for these components; Experience in a two-sided marketplace domain is a plus. ビジネス/エンジニアとのコミュニケーション力： プロジェクトのアウトカムをプロダクトマネージャや分析者、場合によっては経営層と共に議論し定義でき、機械学習タスクとして要件に落とし込める 複雑な要件を整理、適切なステークホルダーを巻き込んで合意形成できる S trong communication skills with both business and engineering stakeholders: Ability to define project outcomes in collaboration with Product Managers, analysts, and, when needed, leadership, and translate them into machine learning requirements; Ability to structure complex requirements, engage relevant stakeholders, and drive alignment. 日本語ビジネスレベル以上 ネイティブでない方であれば、日本語が共通言語であるチームでの業務経験があることが望ましい 日本がメインの領域となるグローバルプロダクトであるため、日本の言語や文化に対する理解を深める意向を持つことが望ましい Japanese proficiency at business level or above: For non-native Japanese speakers, experience working in a Japanese-speaking environment is preferred; Given that Japan is the primary market, a willingness to deepen understanding of Japanese language and culture is preferred. 英語ビジネスレベル以上 Match Groupの英語話者ステークホルダーとのコミュニケーションや英語による正式な資料作成が可能なレベル、もしくはそこまでキャッチアップ可能であること English proficiency at business level or above: Ability to communicate with English-speaking stakeholders within Match Group and create formal documentation in English, or the ability to ramp up to that level. 歓迎条件： 特に1. 2. の要件を重視します。 1. 機械学習プロジェクトをリードした経験： 複数の職種が関与する機械学習プロジェクトにおけるテクニカルリード 曖昧で制約が自明でない状況においてトレードオフを明確にした技術的意志決定（性能、コスト、UXを考慮した要素技術の選定・設計） ミドルマネジメントと共に、現場と経営層の認識を揃えながらプロジェクトを推進 2. 統計学、機械学習、A/Bテストの知識、スキル： 各種統計検定に関する理解があり、ケースに応じて適切な利用と結果の解釈ができる 機械学習（主に教師あり学習）の評価指標を理解している 機械学習、検索、推薦、自然言語処理、画像処理等の高度なアルゴリズムを用いる幅広い分野関する知識と経験を持ち、プロジェクトの目的に対してこれらから最適なタスクへの落とし込みができる embeddings / vector search を用いた近傍検索、candidate generation / retrieval を含む推薦・検索システムの設計・改善経験を持つと尚可 A/Bテストについて網羅的な知識を持ち、プロジェクトKPI/KGIとテストターゲット、機械学習のドメインとの関連を理解した上で設計及び実施、評価が出来る。 NumPy, Pandas, SciPy, Matplotlib, scikit-learn, TensorFlow, PyTorchなど機械学習に関わるライブラリ・フレームワークの本番環境における利用経験 3. データ処理におけるテクニカルスキル： SQL言語の知識、技能 Python/Ruby/Java/Scala/Goいずれかの業務での開発経験 ストリーム/バッチのデータ処理経験 RDB以外のデータベース利用経験 4. MLサービスの運用経験： Kubeflow / TFX などMLパイプラインの開発・運用 Kubernetes の監視・運用 SageMaker, Vertex AI などの managed ML services を利用したML基盤の開発・運用 Langfuse を用いた LLM アプリケーションの observability / tracing / monitoring の運用経験 5. 機械学習チームをリードした経験： チーム内の担当領域のロードマップの策定（四半期から1年） 機械学習チームと事業及び企業全体のロードマップとの整合性をとる為の継続的な行動 6. データエンジニアリングスキル： リアルタイムでオンライン推論が行われる機械学習パイプラインの設計・構築・運用・監視経験 BigQuery / DynamoDB 等を用いて、用途に応じた特徴量管理基盤（feature store 相当）を設計・構築・運用した経験 高トラフィックサービスのストリームデータ処理経験 大規模データのバッチ処理経験 データに対する要求水準が高い Application のデータストアやデータパイプラインの設計、技術選定の経験 7. 大規模システムの運用経験、トラブルシューティングスキル： ボトルネックを特定し、適切な解決策を提案、実施した経験 または運用を事前に考慮して、高可用性、高信頼性のあるシステムを設計した経験 SREのプラクティスを改善しながら運用する経験（SLO, エラーバジェット等） We place particular emphasis on requirements 1 and 2. 1. Experience leading machine learning projects: Technical leadership in ML projects involving multiple functions Ability to make technical decisions under ambiguity, clearly identifying trade-offs (e.g., performance, cost, UX) and selecting/designing appropriate solutions Experience aligning on goals across teams and driving projects in collaboration with mid-level management and leadership 2. Knowledge and skills in statistics, machine learning, and A/B testing: Understanding of statistical methods and ability to apply and interpret them appropriately Understanding of ML evaluation metrics (primarily for supervised learning) Broad knowledge and experience across areas such as ML, search, recommendation, NLP, and computer vision, with the ability to translate project goals into appropriate technical approaches Experience designing and improving recommendation/search systems, including embeddings, vector search, and candidate generation/retrieval, is a plus Strong understanding of A/B testing, with the ability to design, execute, and evaluate experiments in alignment with KPIs/KGIs and ML domains Hands-on experience with ML libraries/frameworks in production (e.g., NumPy, Pandas, SciPy, Matplotlib, scikit-learn, TensorFlow, PyTorch) 3. Technical skills in data processing: Proficiency in SQL Development experience in at least one of the following: Python, Ruby, Java, Scala, or Go Experience with stream and batch data processing Experience working with non-relational databases 4. Experience operating ML services: Experience developing and operating ML pipelines (e.g., Kubeflow, TFX) Experience monitoring and operating Kubernetes Experience building and operating ML platforms using managed services (e.g., SageMaker, Vertex AI) Experience operating LLM applications with observability / tracing / monitoring tools (e.g., Langfuse) 5. Experience leading ML teams: Experience defining team-level roadmaps (quarterly to annual) Experience aligning ML initiatives with broader business and organizational roadmaps 6. Data engineering skills: Experience designing, building, operating, and monitoring ML pipelines for real-time (online) inference Experience designing and operating feature store–like systems using BigQuery, DynamoDB, etc. Experience with stream processing for high-traffic services Experience with large-scale batch data processing Experience designing data stores and pipelines for applications with high data requirements 7. Experience operating large-scale systems and troubleshooting: Experience identifying bottlenecks and proposing/implementing appropriate solutions Or experience designing systems with high availability and reliability, considering operational aspects Experience improving and operating with SRE practices (e.g., SLOs, error budgets) 欲しい人物像： 担当領域に関して、物事を前に進めるためのあらゆることを実践できる 経営陣、法務、プライバシー保護担当等のプロジェクトチーム外のステークホルダーとのコミュニケーションを必要に応じて行える 自身の仕事の価値を理解してやりきれる力がある 最新技術を常にキャッチアップし、必要に応じてプロダクトに導入できる あるべき理想を持ちながら、現実問題に落とし込んでギャップを埋める議論ができる Ability to proactively drive work forward within their area of ownership; Ability to communicate effectively with cross-functional stakeholders (e.g., leadership, legal, privacy teams) as needed; Strong ownership and the ability to understand and deliver the value of their work end-to-end; Continuously stays up to date with the latest technologies and is able to apply them to the product when appropriate; Ability to bridge the gap between ideal solutions and real-world constraints through practical and constructive discussions.
Staff Machine Learning Engineer, Growth
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge. Responsibilities: Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features Define and own the technical roadmap for ML within your product area and align with company-wide priorities Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space. Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale. Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data Communicate effectively to audiences of various technical and non-technical backgrounds What We're Looking For: Strong programming skills: Proficiency in Python and ML libraries such as PyTorch Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus. System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing). Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus. Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes. 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role Previous experience in User Growth or Monetization 3+ years of experience designing and developing end-to-end, production grade ML systems 4+ years of experience working in a cloud environment such as GCP, AWS, Azure 3+ years of experience leading projects with at least 1 other team member through completion. A degree in computer science, engineering, or a related field or equivalent experience.
Senior MLOps / AI Engineer
At Meetic, a Match Group company, we have been pioneering online dating for over 20 years, leveraging our legacy to reinvent how people meet, connect, and build meaningful relationships across Europe and beyond. As part of Match Group, we manage a diverse portfolio of brands, from iconic names like Meetic, Match, Lexa, and LoveScout24 to tailored experiences for singles over 50, OurTime, DisonsDemain, Zweisam, and single parents, Even and Stir. Our teams design, build, and scale platforms across 20+ countries and 18 languages, ensuring every single finds the right match for their lifestyle and lifestages. We also drive growth for other Match Group brands like The League, OkCupid, Archer, Salams, and Plenty Of Fish, expanding our impact worldwide. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days / week in our office, 53 rue de Chateaudun, 75009 Paris. Role overview Meetic relies heavily on data to drive and grow its business. As a truly data-driven company, data is our daily compass for decision-making. The Data Science team sits at the crossroads of the company’s key challenges and makes the most of all the information contained in our data. It is part of Meetic’s Data Hub, which brings together all data-related stakeholders (Data Science, ML/Data Engineers, DBAs, BI). Our extensive data ecosystem allows us to work across all business domains: profile recommendations for our users, pricing and optimization of business models, optimization of subscription and à-la-carte offers, customer knowledge and experience, detection and prevention of harmful behaviors, marketing analytics and acquisition, image processing …and much more! Our technical environment: Google Vertex AI, BigQuery, Elasticsearch, Kafka, Scala, Python, Spark, SQL, AWS… We are looking for creative and passionate people who enjoy working in a dynamic and international environment. How you’ll make an impact Design, implement and maintain ML pipelines and CI/CD workflows (training, deployment, retraining) Expose ML models through inference APIs (Cloud Run / Vertex AI Endpoints) to be consumed by product and platform services Own monitoring, alerting and reliability of ML systems in production Write optimized, high-performance, scalable, testable, maintainable, and observable code Ensure operational readiness of ML models (logging, metrics, incident handling) Act as a local ML Ops reference for the Paris Data Science team Support DS teams to industrialize models and experiments Collaboration Work in an international, multi-brand environment with teams across Europe, Canada, and the US Collaborate with platform teams (Canada/US) on GCP infrastructure and standards Work closely with Product squads of E&E brands to understand and address their needs Collaborate with Data Engineers and software architect to ensure data quality and production deployment of models Promote a data-driven culture in a highly collaborative environment and share your expertise Technology watch Stay up to date with advances in machine learning and devops to apply best practices within the company We could be a match if You hold an engineering degree or a Master’s degree in mathematics or computer science, with at least 5–6 years of experience in similar roles You enjoy discovering scientific methods and challenging existing ones, always keeping in mind the ultimate goal of improving the performance of our dating application Experience with ML / DevOps practices Experience with CI/CD, Docker, Terraform Experience with monitoring & alerting (Cloud Monitoring, Grafana, etc.) Understanding of IAM, service accounts, security Comfortable operating ML systems in production Strong understanding of model serving constraints Comfortable communicating in English during meetings Excellent analytical and synthesis skills Excellent written and verbal communication skills Rigorous scientific mindset Team spirit and proactive attitude Curiosity and strong learning ability Nice to have Experience working with Kafka or event-driven architectures in ML or data platforms Knowledge in A/B test framework Knowledge in QlikView, Looker, or other BI tools
Senior Machine Learning Platform Engineer
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Joining Hinge’s AI Platform Core team offers a unique opportunity to help define and contribute to a growing ML platform with the goal of accelerating the development, deployment, and operations of AI enabled features on Hinge. If you are excited by the idea of working on challenges ranging from maturing and scaling our training and serving frameworks to enable millisecond real-time predictions and models that continually learn at scale, providing automatic model performance monitoring & debug frameworks, and building Platforms for architecting and evaluating generative AI & Agentic systems, then read on! With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted. You'll collaborate across our product and platform teams, as well as with external stakeholders like data science and backend engineering. You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems. Being part of a small yet impactful team means having a broad scope of responsibility. As the role of ML at Hinge is only becoming more impactful, this role provides you with a chance to grow in impact and scope across the company. This is an exciting opportunity to own and help define the future of machine learning within a growing and maturing team! Responsibilities Own or contribute to technical designs for the feature platform, training platform, serving platform, AI observability platform and GenAI Platform and underlying operational infrastructure to enable Product impact. Develop, maintain, and enhance frameworks for AI/ML model development and deployment while establishing and driving best practices in MLOps / GenAI engineering. Design, advocate, and implement for usability, reliability, scalability, operational excellence, and cost management while delivering incrementally. Collaborate closely with ML Engineers, Data Scientists, Data Engineers and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers, Backend Engineers and Product Managers on current and up and coming tools and technologies for ML operations & GenAI product development through presentations and documentation. Help design and architect an AI platform that adheres to the principles of responsible AI (Authenticity, Transparency, Equity) and builds privacy compliance into the platform. Lead build vs buy discussions on technologies that underpin the Platforms we serve. Participate in on-call and Incident Management processes. What We're Looking For 4+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 1+ year of experience leading projects with at least 1 other team member through completion. 1+ year of experience for Senior designing and developing online and production grade ML systems. A degree in computer science, engineering, or a related field. Strong programming skills: Proficiency in languages like Python, Go, or Java. System design & architecture : Ability to design scalable and efficient ML systems. Cloud platform proficiency : The ability to utilize cloud environments such as GCP, AWS, or Azure. ML knowledge : A basic understanding of ML algorithms, techniques, and best practices. Data engineering knowledge : Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage Collaboration and communication skills : The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. Strong written communication : The ability to communicate complex ideas and technical knowledge through documentation Software leadership skills : A track record of leading projects through completion with quantifiable and measurable outcomes.
Applied AI, Forward Deployed Machine Learning Engi...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT MISTRAL At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. Learn more about our culture here https://mistral.ai/careers. ABOUT THE JOB The Applied AI for Critical and Sovereign Institutions team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence. Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners. Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact. WHAT YOU WILL DO • Individually deploy AI solutions into production for use cases with significant operational and strategic impact. • Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers. • Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning. • Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders. • Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance. HOW WE WORK IN APPLIED AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and gi
Applied AI, Technical Lead - Forward Deployed AI E...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineer
Applied AI, Technical Lead, Forward Deployed AI En...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across global hubs including France, the USA, the UK, Germany, and Singapore, with growing activity in Abu Dhabi and the wider MENA region. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers https://mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whethe
Applied AI, Technical Lead, Forward Deployed AI En...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers https://mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someon
Applied AI, Technical Lead, Forward Deployed AI En...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers https://mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someon
Senior Gameplay AI Programmer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide What You'll Do We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior Gameplay AI Programmer, you will play a critical role on a small and focused team. You will be responsible for core AI features and supporting collaborative development between programmers, designers, and artists. You will have opportunities to work on various initiatives, get hands-on with cutting-edge technologies, and work with talented internal and external teams, all while building impactful experiences from concept to delivery. In this role, you will - Work closely with art and design to create and iterate on gameplay AI features - Experiment with game design and iterate rapidly while ensuring that strong architectural and algorithmic decisions are made - Drive, build and maintain core AI systems shared in the Fortnite AI ecosystem - Collaborate with engine AI developers to improve AI systems - Ensure high-quality user experiences across all platforms we support - Optimize and fix bugs in existing gameplay AI systems What we're looking for - Experience developing games professionally, and shipping AAA titles with AI experience - Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, Animation, etc.) - Excellent C++ skills and the ability to code and architect AI gameplay mechanics and tools - Well-versed in games and the ability to articulate what is strong/weak about the design of existing games (an interest in online games is preferred) - Excellent communication and interpersonal skills - Experience working on a live service game is a plus - Self-motivated, great work ethic, and able to work independently - Creativity in problem-solving and the ability to think outside of the established solutions EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US<
Applied AI, Senior/Staff Forward Deployed Machine...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings. What you will do • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll individually help deploy into production use cases with a considerable business impact across various industries. • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback About you • You are fluent in English • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with buildin
Applied AI, Forward Deployed Machine Learning Engi...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings. What you will do • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll individually help deploy into production use cases with a considerable business impact across various industries. • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback About you • You are fluent in English • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NL
Applied AI, Forward Deployed Machine Learning Engi...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings. What you will do • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll individually help deploy into production use cases with a considerable business impact across various industries. • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback About you • You are fluent in English • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NL
Applied AI, Forward Deployed Machine Learning Engi...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings. What you will do • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll individually help deploy into production use cases with a considerable business impact across various industries. • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback About you • You are fluent in English • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NL
Applied AI, Forward Deployed Machine Learning Engi...
ABOUT MISTRAL Mistral AI provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings. What you will do • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll individually help deploy into production use cases with a considerable business impact across various industries. • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback About you • You are fluent in English • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with buildin
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