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Software Engineer, Public Sector
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: - Create multi-layered guardrails around agents - Optimize data retrieval for agents - Orchestrate fleets of asynchronous agents - Automatically alerts users to deviations in data - Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. - Build features for agentic systems including multi-layered guardrails and data retrieval optimization. - Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. - Collaborate with cross-functional teams to execute backend solutions for secure environments. - Participate in customer engagements to understand requirements and deliver technical solutions. - Define requirements with stakeholders and implement features until they are accepted. - Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: - Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles - Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment - Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering <div
Software Engineer - Training/Inference (C++)
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure.
Network Engineer - ML Infrastructure (High-Speed I...
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure.
Member of Technical Staff - Voice Model
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure.
Member of Technical Staff - RL Training Framework
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure.
Member of Technical Staff - RL Inference
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure.
Member of Technical Staff - Post-Training and RL
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure.
Member of Technical Staff - Model Training
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure.
Member of Technical Staff - Mid-training
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure.
People Operations Generalist
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 a People Operations Generalist to join our growing People team. You'll touch the employee lifecycle end-to-end — from offer acceptance through offboarding — while helping to build the processes and documentation that let our People function scale with the business. This is a great fit for a highly organized, systems-oriented people person who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. What you’ll do - Own and continuously improve the new hire onboarding experience, ensuring employees are set up for success and internal tasks are tracked and completed on time. - Serve as a first point of contact for employee questions across the full HR spectrum, triaging and routing more complex issues to the right People team member or external partner. - Maintain and improve self-service resources (FAQs, Notion pages, etc.) so employees can find what they need quickly — and always feel supported even when no one's in the room. - Support rollouts of new People programs and policies, including communication planning, manager enablement, and documentation. - Help bring employee experience programs and events to life, from team offsites to milestone recognition, that reinforce culture and make people feel valued. - Process employee changes (promotions, equity refreshes) accurately and on time, including preparing updated employment letters and maintaining compliant employee files. REQUIREMENTS: - 2+ years of People Operations experience, preferably at a high-growth startup. - Demonstrated ability to build and document HR processes from the ground up, not just execute existing ones. - Strong written communication: you write clearly, keep things simple, and know your audience. - Experience managing employee data with accuracy and discretion. - Comfortable handling competing priorities without losing track of the details.
Customer Engineer
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 engineers with deep AI/ML and low-level systems experience who want to build the best technical support experience in the world. This isn't a traditional support role — it's an engineering role where you happen to be closest to our customers. You'll split your time roughly 50/50 between working directly with customers and shipping fixes, features, and automation that improve Modal for everyone. When you help a customer debug a training run, you'll also fix the underlying issue in the platform. When you notice ten customers hitting the same friction point, you'll build the tooling or automation that eliminates it entirely. This role is for people who solve problems, not people who answer tickets. The problems you encounter are deeply technical and arise from running some of the most demanding AI workloads in the world. You'll be a member of our engineering team, contributing production code alongside the engineers building the core platform. The difference is that your roadmap is shaped by what you learn at the frontier of customer experience. You will: - Ship code that matters. Fix bugs, build features, and create automation that improves the experience for every Modal user — not just the one who reported the issue. - Work directly with customers. Help developers and ML engineers debug, optimize, and architect their workloads across Slack, email, and calls. - Build scalable systems. Design tooling, dashboards, and automated workflows that make support efficient at scale — delighting customers at the most important moments. - Close the feedback loop. Translate patterns you see in the field into concrete improvements — docs fixes, API changes, or new feature proposals. - Contribute to open source and technical content. Write examples, build demos, and publish content that helps the broader community succeed on Modal. REQUIREMENTS: - Accomplished in key areas. You bring depth in either low-level infrastructure or ML/AI, and you're not lost in the other. - Low-level infrastructure experience. Operating systems, file systems, networking, performance profiling, cluster management and distributed systems. - AI/ML engineering experience. Training models, optimizing inference, working with GPUs, or building ML infrastructure. - Automation mindset. Your instinct when you see a manual process is to eliminate it and you have the engineering background to make that happen. - Clear communicator. Can explain a systems issue to a customer, write a crisp bug report, and draft documentation, all while collaborating internally to ship improvements.
Visual Development Artist - AI & Generative Tools
This isn't a live vacancy - it's an invitation. Framestore's London studio is actively building relationships with artists who are working at the frontier of AI-assisted visual development, and we want to hear from you before the right role appears. We're the studio behind some of the most ambitious visual storytelling in cinema - from the creatures of Guardians of the Galaxy, How To Train Your Dragon, and Paddington to the worlds of Harry Potter, Project Hail Mary , and Wicked . Now we're building the next chapter, using AI not as a shortcut, but as a creative amplifier. Our proprietary tools - including Futon, our generative AI pipeline integration - are giving artists new ways to shape, iterate, and realise complex visuals at a pace and scale that wasn't possible before. We're looking for artists who feel at home in this space. Whether you're a concept artist who has built custom ComfyUI workflows, a matte painter who uses AI to explore compositional ideas, or someone whose practice has evolved in directions that don't fit the standard job description - we want to see what you're making. What we’re looking for - An AI-native creative approach: You use generative tools as a core part of your practice - not as a finishing step, but as part of how you think. You've built workflows, iterated on models, or found ways to generate imagery that genuinely pushes the work forward. - Strong visual foundations: A command of frame, composition, light, and colour that doesn't depend on the tool. Your AI-assisted work still reads as intentional, directed, and refined - because the craft underneath it is solid. - Curiosity about production pipelines: You're interested in how concept work informs downstream VFX - how a visual development image transitions into a 3D pipeline, how a lighting decision in concept shapes what gets rendered months later. You don't need to have worked in a major VFX studio, but you're interested in how it all connects. - A portfolio that shows your thinking: We care less about where you've worked and more about what you're making. Show us work that demonstrates how you solve visual problems. Process work, personal projects, and experimental output are all welcome. Tools we work with - Futon: Framestore's own ML & generative AI integration layer - built into our VFX pipeline. - ComfyUI: Node-based generative workflows. Experience here is a strong signal. - Nuke: Compositing environment used to build living, production-ready concept imagery. - Blender: Open-source 3D widely used for blocking, lighting, and generative AI integration via custom nodes. - Unreal / Realtime: Real-time render engines increasingly part of visual development workflows. - Gaussian Splatting: Frontier technique - experience or genuine interest is a plus. Send your portfolio and a short note about how you work to recruiters@framestore.com with the subject line: Visual Development — AI Talent Pool . There's no fixed deadline. We review applications on an ongoing basis and will reach out when a relevant opportunity arises. We review all applications manually and do not use artificial intelligence to screen candidates. We welcome applications from artists at all career stages. If you need any adjustmen
Backend Machine Learning Programmer
PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication. At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together. ABOUT THE POSITION At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Responsibilities We are looking for a Backend Machine Learning Programmer to build the scalable services and data infrastructure that power our AI products. You will design cloud-native systems on AWS, build large-scale data pipelines, and deploy and serve machine-learning models in production. You will join the team advancing AI-assisted coding and agentic approaches across Virtuos - creating AI agents and solutions that make our developers more productive - alongside our work, to a smaller degree, on real-time AI, game AI, and quality-engineering agents. This is a global Virtuos role. Being based in our Kuala Lumpur office is a plus but not required. On-site presence is expected at the start, and a hybrid arrangement (three days in the office, two days from home) can be agreed after an initial on-site period. A fully remote arrangement is not offered for this role. We're happy to discuss individual circumstances and reasonable accommodations within this arrangement. - Design and build scalable backend services and APIs for machine-learning and AI features. - Build and operate large-scale data pipelines for ingesting, processing and storing big datasets. - Deploy, serve and scale machine-learning models in production, including inference, embeddings and vector search. - Design and operate cloud infrastructure on AWS, ensuring reliability, security and cost-efficiency. - Own data storage and retrieval across relational and vector/search stores. - Build CI/CD, observability and automated testing for backend systems. - Collaborate with machine-learning and frontend engineers to deliver features end to end. Qualifications - Strong backend engineering skills in Python (and/or another server-side language). - Hands-on experience with AWS cloud services (compute, storage, containers and serverless). - Experience with big-data and distributed-data processing at scale. - Experience serving machine-learning models and working with databases, including vector/search stores. - A solid grounding in APIs, microservices, containerization and monitoring. - Experience with CI/CD pipelines - GitLab and Horde are a strong plus; Jenkins and TeamCity a lesser plus. - Game development experience is valued. - Bachelor's degree in Computer Science, Engineering or equivalent experience. - Excellent written and spoken English. - Around 4+ years of backend engineering experience. - Hands-on experience with AI coding assistants such as Claude Code, Codex CLI, GitHub Copilot or equivalent (required).
Recruiter, Applied AI
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 is seeking a strategic Go-To-Market Recruiter specializing in Applied AI to join our GTM recruiting organization. In this role, you'll focus specifically on building and scaling our Applied AI team - the Pre-Sales architects and technical advisors who help large enterprises successfully integrate and deploy Claude. Working within our broader GTM recruiting team, you'll drive full-cycle recruiting for these critical customer-facing technical roles that bridge our cutting-edge AI technology with real-world business applications. This specialized role requires deep technical recruiting expertise combined with a strong understanding of enterprise SaaS and AI landscapes. You'll collaborate closely with GTM recruiting colleagues while developing targeted strategies for the unique talent needs of our Applied AI organization. You'll help shape how enterprises work with AI systems by building teams that directly influence the safe and beneficial deployment of Claude across industries. Key responsibilities - Lead end-to-end recruiting for Applied AI team roles, including Solutions Architects, Pre-Sales Engineers, front-line managers and other customer-facing technical positions - Partner with Applied AI leadership and GTM recruiting colleagues to develop comprehensive hiring strategies that align with overall GTM objectives - Execute sophisticated sourcing strategies to identify candidates with rare combinations of technical depth, customer empathy, and business acumen - Create exceptional candidate experiences that showcase Anthropic's mission and the unique opportunity to shape enterprise AI adoption - Build pipelines of talent with expertise in LLMs, cloud architecture, enterprise software integration, and technical consulting - Collaborate with GTM recruiting team members to share best practices, market insights, and cross-functional candidate leads - Leverage Claude and other AI tools to enhance recruiting efficiency while maintaining high-touch, personalized engagement - Provide data-driven insights on compensation trends and talent availability specific to the Applied AI market Minimum qualifications - Excel at recruiting for customer-facing technical roles that require both deep technical knowledge and exceptional communication skills - Understand the technical requirements of roles working with LLMs, APIs, cloud architectures, and enterprise system integration - Thrive in collaborative environments, working seamlessly with GTM recruiting colleagues while managing specialized searches - Can effectively assess candidates' abilities to translate complex technical concepts for diverse stakeholders - Have a track record of building trusted advisor relationships with technical hiring managers - Are passionate about using AI to transform recruiting practices while
Agent Post-Training, API & Power Users
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of this API & power-users team, you will improve the capabilities, reliability, and product fit of OpenAI’s agentic models for power users and API developers. You might design evals from real developer workflows, build training environments around production-like tool use, turn qualitative model failures into training data, evals, or post-training interventions, or drive a behavior improvement from discovery through post-training, integration, and launch. This role is intentionally broad. The strongest candidates are comfortable turning ambiguous model behavior problems into concrete progress, whether that means improving tool use, planning, instruction following, recovery from mistakes, or how models behave in API-based workflows. You should be excited to work across research, engineering, data, evals, and product to make models better at acting in real workflows. You will work closely with researchers, engineers, API/product teams, Codex, infrastructure, and safety/alignment partners to decide which behaviors matter, how to measure them, how to train them, and when they are ready for major model runs. This is a high-agency role for people who want their work to show up directly in frontier models used by expert users and developers. In this role, you might - Design and run experiments that improve model behavior in API and power-user workflows: function calling, tool use, coding, planning, long-horizon execution, factuality, instruction following, error recovery, and calibrated reasoning. - Build evals, graders, and environments from real developer and power-user workflows, then turn observed failures into training data, model-behavior hypotheses, and shipped improvements. - Partner with API and power-users to identify high-leverage behavior gaps and convert product signals into post-training interventions. - Improve how models behave when composed into systems: using tools reliably, respecting developer intent, handling partial failures, asking for clarification when appropriate, and maintaining coherence across multi-step tasks. - Own end-to-end model behavior projects, from qualitative failure analysis through data generation, training experiments, eval design, integration into major runs, and launch readiness. - Develop feedback loops that use power-user traces, API usage patterns, and production-like environments to discover the next frontier of agentic model failures and gaps. - Help decide which agentic capabilities, behavioral fixes, and partner-team integrations are ready for inclusion in major model runs. - Debug hard failures in shipped or near-shipped models by moving between traces, evals, training data, model outputs, and product context. - Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior. - Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness. - Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments. You might thrive in this role if you - Have strong technical fundamentals in ML, software engineering, systems, statistics, or applied research, and can quickly learn across unfamiliar parts of the stack. - Have hands-on experience with LLMs, post-training, RL/RLHF/RLAIF, evals, graders, synthetic data, coding agents, tool-using agents, API products, or production ML systems. - Have strong taste for model behavior: you can look at a transcript, trace, eval failure, or API interaction and form concrete hypotheses about what the model needs to learn. - Are excited by ambiguous capability problems where the signal is noisy, the failures are qualitative, and the solution may involve data, training, evals, product changes, or all of the above. - Deeply care about developer and expert-user experience, especially how models behave when embedded in real user workflows, API products, and agent harnesses.. - Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group. - Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. - Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Engagement Specialist, User Operations
About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role As a Product Engagement Specialist on the User Operations team you will be a hands-on systems builder responsible for making product launches and frontline feedback more scaleable, measurable and actionable across both internal User Operations and external third-party teams. You’ll be responsible for not only managing the project timelines, but also designing and shipping the workflows, tooling and data systems that connect the voice of the user into actionable improvements for Product and Engineering teams. We’re looking for people who thrive at the intersection of project management, team enablement, and customer advocacy, and enjoy working cross-functionally in a fast-paced, evolving environment. We are also looking for individuals that will not just do the day to day work - but will also be deeply involved in architecting the systems of feedback sharing and collection with our stakeholder groups across Support, Product, and Engineering. Think data systems, not better slide decks. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, build, and own scalable systems for launch readiness, feedback capture, triage, synthesis, and routing. - Coordinate product launches across internal User Operations teams and external third party teams to ensure seamless execution and support readiness. - Develop and implement scalable feedback loops between support teams and product/engineering teams, ensuring customer insights are integrated into product development and strategy. - Serve as the voice of the user, advocating for their needs and pain points in product and engineering discussions. - Collaborate with cross-functional teams (e.g., Product, Engineering, Marketing, and Operations) to align on product launch goals and timelines. - Lead efforts to document and standardize launch procedures, ensuring they are easily repeatable and scalable as the product line grows. - Monitor post-launch performance, gathering data from support teams to evaluate product impact and inform future improvements. - Identify potential risks and challenges during product rollouts, proposing solutions to mitigate disruptions to customer service. - Regularly report on the performance of the feedback loop, including key insights, trends, and actionable recommendations for the product roadmap. You might thrive in this role if you: - Have 8+ years of experience in product launch coordination, especially within a customer support environment (internal and/or external). - Bring product management, technical program management, or similarly hands-on experience taking ambiguous problems from discovery through delivery and adoption. - Enjoy working cross-functionally and are skilled at building relationships with Product, Engineering, and Operations teams. - Are technically fluent in areas such as APIs, integrations, data flows, analytics, automation, or lightweight scripting, even if you are not a software engineer. - Are passionate about customer advocacy and have experience translating customer feedback into strategic product insights. - Are highly organized and able to manage multiple projects with competing deadlines. - Have excellent communication skills, with the ability to clearly articulate technical concepts and customer pain points to diverse audiences. - Are proactive and take ownership of initiatives, from ideation through to implementation and post-launch analysis. - Are comfortable working in a fast-paced environment where priorities can shift quickly. - Have a data-driven mindset, using metrics and feedback to guide decision-making and optimize processes. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Recruiting Solutions Engineer
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 As the Recruiting Solutions Engineer dedicated to Recruiting at Anthropic, you will be the trusted technical partner helping recruiters build with Claude as we transform how Anthropic hires. The role spans three connected lanes — education, technical support, and building — in that order. Your first mission is helping recruiters help themselves: finding the AI skills and workflows our strongest recruiters have already invented, codifying them, and teaching them at scale. Where self-serve runs out, you provide hands-on technical support. And where the same need keeps surfacing, you build fast pilots that prove the workflow. Working closely with Recruiting leadership, People Products Engineering, and Data Solutions, you'll own the full enablement loop: you'll leverage your AI engineering expertise to turn recruiter-built skills into reusable assets, design evaluation approaches for AI-assisted hiring workflows, and create the technical resources that let a recruiting org operate at the frontier of AI. Key responsibilities - Serve as the dedicated technical advisor to the Recruiting organization — embedded with recruiters, sourcers, and coordinators to expand what's possible with Claude in real hiring workflows - Lead with education: identify and codify the skills and workarounds recruiters have created, turn them into teachable and reusable assets, and run the enablement motion (sessions, office hours, workshops) that scales them across the org - Work hands-on with recruiters: pairing on prompts, skills, and agent workflows; debugging where things break; turning support patterns into documentation so the same question isn't answered twice - Develop fast prototypes and pilots for high-value workflows that education alone can't solve — built scrappy, validated with real recruiter usage, and designed from day one with a graduation path into People Products' production stack - Collaborate closely with our internal AI governance group (the AI Council) to vet recruiter-built skills into shared tooling, and with People Products to hand off pilots that earn productionization - Identify patterns across teams and engagements, and contribute insights back to Recruiting leadership, Data Solutions, and People Products - Create technical content for recruiting audiences: documentation, tutorials, sample skills, and walkthroughs that assume curiosity rather than an engineering background - Foster community engagement through internal hackathons, demo sessions, and technical office hours Minimum qualifications - Experience as a Software Engineer, Forward Deployed Engineer, Solutions Engineer, or in a technical enablement role — or equivalent builder credibility from shipping real products - Production experience building LLM-powered applications and workflows, including prompting, context engineering, agent architectures, and evaluation - Strong programming sk
Data-Driven Anticheat Developer - Minecraft Projec...
Responsibilities: - Analyze large volumes of gameplay and network data to identify suspicious behavior and potential cheating trends - Design and implement tools to detect bots, macros, and other forms of automated behavior - Use statistical techniques and machine learning models to find behavioral outliers - Develop dashboards, reports, or metrics that help visualize risk and behavioral trends Qualifications: - Strong proficiency in data analysis with experience cleaning, visualizing, and interpreting complex data sets - Solid foundation in machine learning - Understanding of bot behavior, cheat patterns, and game abuse strategies We can offer: - Chance to work on the biggest Minecraft network with an extremely motivated team - Opportunities to learn and grow personally and professionally - Stable and secure work environment - Ability to work remotely - Full time work
Anthropic Fellows Program
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. Apply using this link . Applications for the next cohort of Anthropic Fellows close at 11:59pm PT on July 26 . The cohort is expected to start November 2 . In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the November start date doesn't work for you. Anthropic Fellows Program overview The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis. What to expect - 4 months of full-time research - Direct mentorship from Anthropic researchers - Access to a shared workspace (in either Berkeley, California or London, UK) - Connection to the broader AI safety and security research community - Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country) - Funding for compute (~$15k/month) and other research expenses Interview process The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 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. Compensation The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension). Fellows workstreams Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams. Some of t
AI Strategist, Legal
Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. ABOUT THE ROLE Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform. RESPONSIBILITIES OWN STRATEGIC LEGAL ENGAGEMENTS - Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure - Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales BE THE DEMO AND TECHNICAL PROOF ENGINE - Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases - Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel BRING DOMAIN JUDGMENT TO THE PRODUCT - Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities - Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not - Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks OPERATE AS THE COMMERCIAL LEAD - Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close - Create urgency, write crisp follow-u
Engagement Manager, Public Sector (Columbia, MD)
Scale AI is at the forefront of the AI revolution, helping the U.S. government 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 for a national security customer. As an EM on our public sector delivery team, you will own or 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, customer relationship building, 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 - Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine - Lead or support 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 We have a diverse team with a variety of skill sets, many have: - 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 Must haves: - An active TS/SCI clearance with a Full Scope Polygraph - 3+ 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 - Excellent verbal and written communication skills - Ability to be forward deployed and willingness to travel 25% (50% travel is a nice to have) 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 Washi
Engagement Manager
As an Engagement Manager on Scale's Generative AI team, you'll be the face of Scale to the world's leading AI labs and model builders — the labs training the foundational LLM and agent capabilities defining the field. You'll own these customer relationships end to end: translating what researchers need into the complex human-data programs our delivery teams execute, advocating for customer success internally, and earning Scale more work through precise, trustworthy follow-through. You'll work cross-functionally with Operations, ML, Engineering, and Finance to ensure the seamless delivery of Scale's GenAI products and services. You won't run data pipelines yourself — you own the customer relationship, shape requirements into delivery outcomes, and partner closely with the teams who execute them. The ideal candidate is organized, execution-focused, and thrives on managing complexity. Precision across tracking, documentation, and customer follow-through is what builds trust and wins repeat work. What you’ll do: - Own end-to-end account management for assigned frontier-lab customers, from opportunity scoping through project kickoff to completion. - Translate customer requirements into well-defined human-data programs run by Scale's internal delivery operations teams. - Manage customer communications, action items, and follow-ups across multiple concurrent projects with strong attention to detail. - Act as a consultative thought partner to Scale's customers, shaping their needs into clear, deliverable project outcomes. - Monitor delivery against customer throughput and quality standards, proactively flagging risks and escalating blockers with proposed solutions. - Partner cross-functionally with operations, engineering, and planning teams to improve delivery efficiency and drive better customer outcomes. What we’re looking for: - 3+ years of work experience in consulting, technical program management, or project management. - 2+ years of experience in B2B client-facing roles. - Experience in a high-growth environment, working cross-functionally and wearing multiple hats. - A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field) - Enough understanding of the ML training lifecycle to discuss use cases meaningfully with technical customers — or a clear ability to learn it quickly. 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.</em&g
Field Engineer, Public Sector
As a Field Engineer on our federal AI projects, you'll work directly with our largest public sector customers to make sure their experience with Scale's technology is smooth and successful. You'll help these customers build production-grade data pipelines, working closely with our Product, Engineering, and Operations teams. This means learning each customer's use cases in depth and building the tools and documentation they need to grow. The role sits at the intersection of customer delivery, product, and engineering. The ideal candidate is a generalist software engineer who enjoys working with clients, takes ambiguous problems and turns them into practical solutions, and collaborates closely with Product and Engineering along the way. An active TS/SCI clearance is required. What You'll Do - Build end-to-end data integrations that sync customer data to and from Scale's platform - Work with customers' engineering teams to optimize data pipelines, including input on API endpoint design and input/output schemas - Design and maintain playbooks, internal tools, documentation, and SDKs that set customers up for long-term success - Partner with engineers and Operations to resolve technical blockers, debug delivery issues, and own technical escalations from customers - Own the customer's technical experience throughout their time with Scale - Work with Account Executives and Product Managers to identify customer-specific feature requests - Develop expertise in large language models, 2D image annotation, and API integrations - Represent Scale and engage with customers at major events What We're Looking For - Experience as a customer-facing engineer or in a similar hybrid role - Hands-on technical experience working with clients in a pre- or post-sales capacity - Development experience with Python, JavaScript, or other modern languages - A strong engineering background, ideally in computer science, mathematics, or another quantitative field - Strong project management and interpersonal skills - The ability to present credibly to both executives and front-line engineers - Comfort communicating across internal and external teams - Intellectual curiosity, empathy, and the ability to move quickly Nice to Have - Experience in AI - Experience working in classified environments - Prior experience as a technical go-to-market resource - Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and CI/CD - Hands-on experience with Kubernetes and Helm charts - Experience automating infrastructure with Ansible or similar tools 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 sa
Infrastructure Software Engineer, Enterprise GenAI
Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You’ll Do: - Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers - Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs. - Deliver experiments at a high velocity and level of quality to engage our customers - Work across the entire product lifecycle from conceptualization through production - Be able, and willing, to multi-task and learn new technologies quickly What We’re Looking For: - 4+ years of full-time engineering experience, post-graduation - Experience scaling products at hyper growth startups - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Python or Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) - Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences 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: $179,400 - $224,250 USD PLEASE NOTE:&
Machine Learning Engineer, Global Public Sector
Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI. Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale. The Mission - Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. - Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. - Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques. What You Will Do - Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows. - Drive Reliability & Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments. - Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights. - Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments - Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty. - Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies. Ideally, You Have - Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable. - Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional protot
Machine Learning Solutions Engineer – Robotics
The next frontier for AI is the physical world. At Scale, we're pioneering this shift, moving artificial intelligence from digital spaces into robotics. Our Robotics team builds the critical infrastructure that empowers the most sophisticated robotic efforts. We are currently seeking a strategic MLSE to join our team and make a direct impact on our platform’s success. As a Machine Learning Solutions Engineer, you'll be a trusted technical partner to the world's most innovative Foundation Model builders and renowned robotics companies. You will partner closely with Product, Sales, and ML Engineers to guide prospective customers through the pre-sales process, delivering customized demos and Proof of Concepts that secure the "technical win" as well as being a critical role in the strategy shaping of our next generation of products covering the full E2E process from data collection to deployments. You’ll help customers bridge the gap from demos to real-world deployment in production by defining technical requirements for multi-modal real-world data pipelines (from data collection, curati... Observed freshness date: 2026-07-09T13:28:44-04:00 Freshness signal: first_party_updated_at Remote signal: unknown Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/scaleai/jobs/4640096005 Source URL: https://job-boards.greenhouse.io/scaleai
National Security Hackathon 2026 - General Interes...
National Security Hackathon Attendees – Stay Connected with Scale AI This posting is for candidates who attended National Security Hackathon and connected with a member of the Scale AI team. It was great meeting you at the Hackathon! Whether we spoke at our booth or on the floor, we always enjoy connecting with people who are passionate about advancing AI and machine learning. At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. For the past ten years, Scale has been the leading AI data foundry, supporting some of the most exciting advancements in AI, including generative AI, defense applications, robotics, and autonomous systems. We’re continuing to grow our team across a range of technical and mission-focused roles. If you're excited about the problems we’re tackling, feel free to share your information here. A member of our team will reach out if there’s a strong fit with one of our open opportunities. And even if the timing isn’t right today, we’d love to stay connected. We look forward to continuing the conversation. In the meantime, you can learn more about our work at scale.com . 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: $227,200 - $284,000 USD 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 Washington DC, Texas, Colorado, Hawaii is: $204,800 - $256,000 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 evalu
Recruiting Coordinator, Contract
About The Team: To help achieve our mission, we are looking for a Recruiting Coordinator to join our team. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Recruiting Coordinators who join today will help schedule and coordinate interviews, provide exceptional candidate experience, and help develop strategies that will scale alongside the new challenges we’re facing. Many of our greatest challenges are yet to be solved, and we're looking to hire a Recruiting Coordinator who is excited to tackle them. About the Role: We are looking for a talented Recruiting Coordinator on a 6 Month Contract (with possibility of extension or conversion given further business need). This is a hybrid role (3 days per week in office) based in our San Francisco or New York City office to join our team and participate in the hiring process from beginning to end. You’ll be directly working with our hiring partners, recruiters and candidates to create a personal and creative recruiting experience! You will: - Schedule, coordinate, and confirm candidate interviews, handling cancellations and reschedules promptly across multiple time zones - Collaborate and communicate effectively with recruiters, hiring managers, and business leaders to ensure smooth interview processes - Create a welcoming and high-touch candidate experience for both virtual and in-person interviews - Support Recruiting Operations on initiatives related to improving coordination workflows, candidate experience and interviewer experience Ideally you have: - 1-2 years of relevant experience; scheduling high volume (100+ interview events a week) and tech industry experience are a plus - Familiarity with Greenhouse, ModernLoop, or similar ATS/scheduling tools - A highly organized and process-driven approach to work, ensuring SLAs are met and work is completed efficiently and accurately - A curious and proactive mindset, leveraging AI tools and technology to identify opportunities for process improvement and greater efficiency This is a Contract role, the salary range for this position is $35-40 per hour. This position is tied to our San Francsicso or New York office and requires coming into the office 3 times a week. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 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
Research Scientist, Agent Robustness
Scale Labs, Research Scientist — Agent Robustness As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: - Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them; - Design and build harnesses to test AI agents’ tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment; - Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use; - Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents. Ideally you’d have: - Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. - Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes. - Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches. - A track record of published research in machine learning, particularly in generative AI. - At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development. - Strong written and verbal communication skills to operate in a cross-functional team. Nice to have: - Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. - Experience with red-teaming, prompt injection, or adversarial testing of AI systems. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement. 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 m
Security Engineer, Product Security
We are seeking a highly technical Security Engineer to join our Product Security team. This role is integral to ensuring the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact. You will: - Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem. - Conduct in-depth code reviews to identify and remediate security vulnerabilities. - Evaluate and enhance the security of our product offerings, through RFC and service review. - Implement and maintain CI/CD pipelines with a strong focus on security. - Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code. - Utilize terraform orchestration to ensure secure and efficient infrastructure management. - Guide engineering teams to build robust long-term solutions that consider security and privacy. - Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact. - Influence the security strategy and direction of the team, advocating for best practices and continuous improvement. Ideally, you’d have: - Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction. - Proven experience as a Security Engineer with a focus on product security. - Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes. - Strong understanding of modern Javascript application design. - Production experience operating and securing AWS infrastructure at scale. - Hands-on experience with SAST and DAST tools and methodologies. - Familiarity with terraform orchestration for infrastructure management. - You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input. - Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders. - Demonstrated ability to influence security strategies and drive improvements within a team. - Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus. 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 Di
Software Engineer, ARC Team
Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: - Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. - Own services or systems and define their long-term health goals, while also improving the health of surrounding components. - Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. - Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. - Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: - At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: - Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus. - Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. - Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles. - Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment. - Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to ev
Technical Program Manager (Gen AI Data Engine), Pu...
Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade computer vision solutions and delivering them into operational use cases that matter. We’re hiring a technical program manager (TPM) to lead and coordinate delivery of GenAI data workflows and ML Ops for a critical national security customer. As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to align internal resources around Scale’s hardest problems, and drive the data workflows underpinning the reliability of solutions that add direct value to Scale’s Public Sector customers. You will: - Manage customer relationships from the executive to the end user - Work alongside national security & intelligence community customers to support genAI data workflows - Lead or support 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 - Learn technical concepts and tools to necessary depth, leveraging that expertise to create solutions from scratch or drastically improve existing solutions - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the GenAI data domain Must haves: - An active TS/SCI clearance with full-scope polygraph (FSP) - 3+ years of work experience succeeding in stakeholder management or a customer-facing role - A basic understanding of the ML operations process including processes underpinning GenAI data labeling, training, and test & evaluation - Familiarity with the U.S. intelligence community and national security apparatus - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - High cross-functional influence and EQ - Willingness to be onsite with a customer in vicinity of Northern Virginia 3+ days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: - A technical background (education or professional experience with computer science, economics, statistics, engineering) - Professional experience, often in a customer-facing technical program management role in industry or government. - Prior experience managing technical customers - A proven track record in B2B client-facing roles and expanding client relationships - Prior experience owning the technical implementation of solutions to the government 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 pe
Technical Writer
At Scale, we believe that the next frontier of artificial intelligence is embodied. The Physical AI team is focused on building general AI that can reason and act in the physical world. By leveraging Scale’s massive, industry-leading data infrastructure, we are partnering with frontier labs to build Foundation Models for Physical AI that will redefine the future of automation. As a Technical Writer on the Physical AI team, you will create and maintain the training content that keeps our global operations running. Working closely with engineers, operators, and regional leads, you’ll turn complex technical knowledge into clear, structured documentation — and help build the content practices that ensure consistency as we scale. This is a high-impact role for someone who is rigorous about quality, quick to ramp on new technical domains, and excited about contributing to a content infrastructure that spans teams and regions. Core Responsibilities - Create and maintain comprehensive training materials — including guides, tutorials, SOPs, troubleshooting docs, and certification content — for a range of audiences including Operators, Technicians, Ops Leads, QMs, and Engineering teams. - Become a go-to resource for Robotics and collections systems, developing deep enough fluency to translate technical complexity into documentation that non-technical users can act on. - Identify knowledge gaps across teams and proactively address them with new or updated content, keeping materials current with evolving tools and processes. - Work within established content standards and templates to ensure documentation is consistent, accessible, and ready for use across multiple regions. - Support the localization and adaptation of training materials for international teams, working within i18n frameworks to ensure regional consistency. - Partner with engineers, product managers, and operators to gather source material, validate accuracy, and synthesize complex information into actionable documentation. - Assist in the delivery and continuous improvement of onboarding and training programs. - Maintain a regular review cadence for existing content, flagging and resolving accuracy issues and versioning changes as tools and processes evolve. Qualifications/Requirements - 2–4 years of experience in technical writing, ideally in a technology, robotics, hardware, or operations-heavy environment. - Proven ability to learn complex technical systems quickly and translate them into clear documentation for non-technical audiences. - Experience working within documentation systems, style guides, or content standards — and a strong instinct for consistency and quality. - Familiarity with internationalization (i18n) considerations in content creation — you understand what it means to write for translation and adaptation across regions. - Strong cross-functional collaboration skills; you’re comfortable working with engineers, ops leads, and subject matter experts to extract and validate information. - Organized, detail-oriented, and able to manage multiple content workstreams simultaneously. - Experience with content management systems and documentation tooling. - Entrepreneurial mindset — you’re energized by building and are comfortable navigating ambiguity. Nice to Have - Exp
Frontier Agents Engineer
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment - Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements - Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows - Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development - Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation - Architect multi-agent systems that orchestrate between different models, tools, and data sources - Implement evaluation frameworks to measure agent performance and iterate toward business objectives - Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization - Create sophisticated prompt engineering strategies optimized for customer-specific domains and data - Build and maintain prompt libraries, templates, and best practices for customer use cases - Conduct systematic prompt experimentation and A/B testing to improve model outputs - Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate Technical Leadership & Collaboration - Serve as the primary technical point of contact for strategic enterprise accounts - Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration - Provide technical training and knowledge transfer to customer teams - Work closely with Scale's product and engineering teams to translate customer needs into product improvements - Document technical architectures, integration patterns, and best practices Problem Solving & Innovation - Debug complex technical issues across the entire stack, from data pipelines to model outputs - Rapidly prototype solutions to unblock customers and prove out new use cases - St
AI Artist - Empire
Remote | Permanent, full-time position | Goodgame Studios About the Role We're looking for an AI Artist to join our art team behind Empire and Empire: Four Kingdoms at Goodgame Studios - part of the Stillfront Group. We've built AI into our production pipeline from the ground up - it's not a bolt-on here; it's how we make things. The role is hands-on and production-focused. You'll use AI tools daily to create, refine, and deliver assets that match our recognisable medieval strategy art style - from in-game visuals to marketing content - always combining AI generation with strong artistic judgement and traditional tools to reach the quality bar our players expect. This is a fully remote, permanent position for candidates based in Germany, Sweden, Spain, Bulgaria, or Malta (valid visa required). Alternatively, we welcome applications from Freelancers working within the German time zone. What You'll Do - Produce in-game and marketing assets end-to-end, from concept through final delivery, using AI-assisted workflows - Build and maintain image and video generation pipelines in ComfyUI and other tools - Combine AI outputs with Illustrator, Photoshop, and After Effects to reach production quality - Create and animate assets using After Effects, drawing on a solid understanding of animation principles, cinematography, and visual composition - Maintain visual consistency with the established Empire art style across asset types (characters, buildings, environments, props) - Support marketing and communication visuals alongside in-game content - Test, evaluate, and integrate new AI tools and models as they emerge (we expect this to be a meaningful part of the job) - Collaborate closely with the rest of the art team, as well as Product, CRM, Game Design, and Developers What We're Looking For Game Art Background - Professional experience in game development (mobile games / F2P / live service titles a plus) - Portfolio that includes real shipped in-game assets - characters, buildings, environments, props, animations - from actual projects AI & Pipeline Skills - Solid hands-on experience with AI-driven visual production as part of a real production workflow - Advanced ComfyUI skills: building, debugging, and optimising complex workflows; custom node setup; dependency management and troubleshooting - Strong working knowledge of Midjourney, ChatGPT/Claude/Gemini for image direction and iteration - LoRA training and workflow automation Image & Video Generation - Character consistency workflows (LoRA, reference-based / ControlNet-style setups) - Image-to-image and image-to-video pipelines - Upscaling and post-production workflows Production Tools - Production-level
Senior Machine Learning Engineer
Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us! The GoFundMe team is searching for our next Senior Machine Learning Engineer to help design and implement our next generation of machine learning solutions powering search and retrieval, recommendation, and personalization systems. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business. Candidates considered for this role will be located in Buenos Aires. There will be an in-office requirement of 3x a week. The Job… Design and... Observed freshness date: 2026-07-28T16:51:53-04:00 Freshness signal: first_party_published Remote signal: onsite Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/gofundme/jobs/8040117 Source URL: https://job-boards.greenhouse.io/gofundme
Senior Agentic AI Engineer
Want to help us help others? We’re hiring! We’re seeking a Senior Agentic AI Engineer to build production-grade autonomous agents and orchestration systems that reshape the future of fundraising, campaign optimization, and donor engagement. Observed freshness date: 2026-06-16T12:30:35-04:00 Freshness signal: first_party_published Remote signal: hybrid Work mode source note: This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina. Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/gofundme/jobs/7967633 Source URL: https://job-boards.greenhouse.io/gofundme
Research Engineer, Large-Scale Training
About the Role The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. As a Research Engineer on
AI Engineer — GTM Analytics
SLSQ327R637 At Databricks, we are passionate about enabling GTM Analytics Engineering builds the internal data and AI platform that Databricks' own go-to-market organization runs on — used by 6,000+ field users across sales, strategy, and operations. We own the number one Databricks App, the Genie agents, which are powered through the lakehouse (Unity Catalog bronze/silver/gold) beneath them. We are "Customer Zero" for Databricks: we adopt the newest Databricks and AI tooling first, in production, and pave the path for the rest of the company. <span style="font-family: helvetica, arial, san
AI Engineer
Job Title: GenAI Developer/ Engineer About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
Frontier Agents Engineer (Applied AI)
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that re
Senior Frontier Agents Engineer (Applied AI)
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that re
Staff Frontier Agents Engineer (Applied AI)
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that re
Recruiting Coordinator - Contract
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: LangChain is hiring a Recruiting Coordinator to help build and scale our high-performing team. You’ll support recruiters, hiring managers, and candidates through every step of the interview and hiring process. You’ll manage interview logistics, drive candidate communication, and keep our recruiting operations running smoothly. You’ll be a key part of creating a thoughtful, efficient, and candidate-friendly hiring experience. WHAT YOU’LL DO: - Schedule a high volume of interviews across multiple time zones and mediums (virtual & in-person) - Communicate directly with candidates via email and phone to keep them informed and prepped throughout the process - Help manage various projects including interview training and pipeline reporting in our ATS (Ashby) - Host candidates onsite for interviews and team meetings - Collaborate with hiring managers and recruiters to build out and update interview plans and other internal documentation - Be a stragic partner with recruiters to continuously improve internal processes and tools. - Support recruiting initiatives including sourcing events, referral drives, and onboarding prep WHAT WE’RE LOOKING FOR: - 2+ years of coordination experience within a technology company, ideally supporting recruiting or HR - Strong organization and time management skills: ability to prioritize and execute multiple high-priority tasks simultaneously - Keen attention to detail - Passion for creating exceptional candidate experiences - Startup DNA: experience in a startup or ability to thrive in fast-paced, unstructured environments - Excellent written and verbal communication skills - Proactive problem-solving mindset with a drive for continuous improvement BONUS IF YOU HAVE: - Experience with modern ATS systems (e.g., Ashby, Greenhouse, Lever) - Familiarity with building recruiting and coordination processes (interview training programs, scheduling best practices, candidate experience design) Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Research Scientist, Safety Post Training
Scale Labs, Research Scientist — Safety Post Training As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers.. For example, you might: - Design and run post-training pipelines to study how training choices affect model safety, robustness, and alignment properties; - Develop interpretability-informed evaluations that reveal how and why models produce unsafe, deceptive, or otherwise undesirable behaviors, and use those insights to guide targeted mitigations; - Collaborate with policymakers, engineers, and other researchers to translate post-training and interpretability findings into actionable safety standards, evaluation benchmarks, and best practices. Ideally you’d have: - Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. - Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches. - A track record of published research in machine learning, particularly in generative AI. - At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development. - Strong written and verbal communication skills to operate in a cross-functional team. Nice to have: - Experience with mechanistic interpretability, probing, or other techniques for understanding model internals. - Familiarity with red-teaming or adversarial evaluation of post-trained models. - Experience studying failure modes introduced or masked by post-training, such as reward hacking, sycophancy, or alignment faking. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement. 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 facto
Third Party Risk Analyst, Security GRC
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 Third Party Risk Management (TPRM) team sits within Security GRC and is responsible for risk management of our vendor and partner relationships, making risk visible to the people who need to act on it, and driving it down. We're building the program for what a frontier AI lab actually has at stake: the models, the research IP, the safety commitments, and the infrastructure that keeps Claude available to customers. The program is designed agent-first, with an AI risk agent handling intake, tiering, and evidence collection so that people spend their time on judgment, remediation, and the vendors that matter most. This role owns the top of that risk stack. You will run the Mission Critical and Highest-Risk vendor portfolios. On the Mission Critical side that means the compute, data center, and data-pipeline vendors where a tier rating is the start of the conversation rather than the end of it: exit and failover planning, single-point-of-failure analysis and treatment, and financial and solvency screening. On the Highest-Risk side that means the vendors with the deepest access to our data and systems, where you'll make sure assessment depth matches the exposure and drive remediation on what those assessments surface. You'll also carry the operational baseline the whole team shares (intake reviews, QA on agent output, escalations, reporting) so the program keeps moving while the portfolio work is underway. Key responsibilities - Own the Mission Critical vendor portfolio: maintain the tiered list, validate it against business impact analysis findings, support exit and failover planning, and drive risk treatment for single points of failure with Procurement, Business Continuity, and business owners - Manage the Highest-Risk vendor portfolio: keep security, privacy, and compliance assessment depth aligned to active vendor exposure, and drive remediation with the relevant domain teams - Support vendor incident response: vendor-side impact assessment, business-owner coordination, and post-incident risk treatment - Run inherent risk assessments through the intake workflow: review agent-prefilled tiering, evaluate vendor controls and evidence across security, privacy, compliance, and operational risk, determine residual risk, and route to domain reviewers where deeper assessment is warranted - Operate the TPRM issue management workflow: document findings with clear risk statements, assign owners, track treatment to closure - Tune and maintain the TPRM Risk Agent alongside the team through prompt development, backtest calibration, error analysis, and output QA - Contribute to KPI/KRI reporting on portfolio coverage and cycle time Minimum qualifications - Experience running third party or vendor risk assessments end to end at a technology company: scoping the engagement, determining inherent risk, reviewing controls and evidence, documenting residual risk, and driving findings to closure - Working knowledge of risk fundamentals (inherent and residual risk, control effectiveness, compensating controls, risk acceptance) and the judgment to apply them when the evidence is incomplete or the answer isn
Strategic Account Executive - Denmark - Consumer &...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced, driven Senior Strategic Account Executive to drive ElevenLabs' growth across Denmark's largest enterprises, with a specific focus on Consumer & Retail. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Danish consumer brands and retailers — and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents — our end-to-end platform for building and deploying AI voice agents — to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of strategic accounts across Denmark, with a primary focus on Consumer & Retail, to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency for consumer and retail brands. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. 4. Develop
Strategic Account Executive - Denmark - Financial...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced, driven Senior Strategic Account Executive to drive ElevenLabs' growth across Denmark's largest enterprises, with a specific focus on Financial Services. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Danish financial institutions — and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents — our end-to-end platform for building and deploying AI voice agents — to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of strategic accounts across Denmark, with a primary focus on Financial Services & Insurance, to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency for financial services institutions. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers
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