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16,537 results

$347,000 – $445,000

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role OpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you'll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API. You’ll work cross-functionally with teams building core services, training models, and developing real-time user experiences to push our latency, throughput, and cost-efficiency to the next level. We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack. In this role, you will: - Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond. - Develop tooling and metrics that provide deep observability into system performance. - Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements. - Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale. - Lead investigations into high-impact performance regressions or scalability issues in production. - Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems. You might thrive in this role if you: - Have 7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems. - Are deeply comfortable with performance profiling tools and tracing systems. - Have experience optimizing performance across one or more layers of the stack (e.g., database, networking, storage, application runtime, GC tuning, Python/Golang internals, GPU utilization). - Have a strong understanding of OS internals, scheduling, memory management, and IO patterns. - Have contributed to observability, benchmarking, or performance-focused infrastructure at scale. - Have demonstrated success navigating ambiguity and aligning stakeholders around performance goals. - Value simplicity, rigor, and collaboration when solving complex systems problems. 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.

👤 HumanFull-timeMid

By OpenAIApr 15, 2026

General Manager - Spain

Negotiable

Negotiable

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 API is the foundation that customers, developers, and our own products build on, and it is scaling fast. We're hiring a Technical Program Manager to drive the scaling and core efficiency programs for the API stack, working at the intersection of the API and the infrastructure it runs on (compute, databases, networking, and inference). Today this work spans many teams and many simultaneous programs, with no single person focused on cohesion across them. You'll be the center: the person who connects isolated workstreams into one coherent roadmap, makes cross-org dependencies visible before they become blockers, and creates clarity on who owns which decisions. Success looks like an API stack that scales efficiently and predictably, with programs that land because someone is accountable for the whole picture. Responsibilities - Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution - Run multiple large programs simultaneously across infrastructure, networking, and the API layer - Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end - Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view - Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence You may be a good fit if you - Have 7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs - Have experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them - Have driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoffs across performance, reliability, and cost - Have coordinated programs spanning many partner organizations, managing cross-team dependencies, commitments, and escalations at the working level - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations, including where decision ownership is unclear - Have excellent written and verbal communication skills, with the ability to influence without authority - Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably <div class="des

👤 HumanFull-timeSenior

By AnthropicJul 18, 2026

Head of Global Policy

Negotiable

At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Scale continues to grow its Government Relations function, we are looking for a Head of Global Policy to support our engagements with Congress, Government Agencies, Industry Trade Associations, and more. The successful candidate will have a history of successfully driving successful Policy and Regulatory outcomes, and the ability to connect business objectives to policy wins. You will: - Own Scale's global policy strategy across all issue areas, including AI governance, federal procurement, international AI safety frameworks and more. - Lead and grow a team of policy professionals, setting priorities and managing execution across a complex portfolio - Translate business objectives into policy outcomes - Serve as Scale's senior voice at trade associations, standards bodies, and industry coalitions; drive consensus on Scale's priority positions - Brief and advise Scale's executive leadership on regulatory and legislative developments affecting the business - Lead Scale's response to Rulemakings, Requests for Comments, and regulatory proceedings across jurisdictions - Build and maintain relationships with senior government officials, agency leads, and legislative staff in the US and internationally Ideally you'd have: - 8+ years experience in Policy or working in the Government - Experience successfully securing consensus for priorities at trade associations, standards bodies - Experience leading company response to Rulemakings, Request for Comments, etc. - Excellent written and verbal communication skills - Previous technical experience such as publishing research/peer reviewed paper, covering technology policy as an issue area within the Government, working at a technical Government Agency within the Executive Branch, or experience in the technology sector - A history of managing multiple works streams simultaneously Nice to haves: - History working within a startup environment or tech company - Active U.S. Top Secret or Secret clearance 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. Pleas

👤 HumanFull-timeExpert / Staff+

By Scale AIJul 18, 2026

Technical Program Manager, AI Infrastructure

Negotiable

About the Role We’re hiring a Technical Program Manager, AI Infrastructure to lead high-impact programs that power Character.AI http://Character.AI’s model development and serving systems at scale. In this role, you’ll partner closely with engineering, research, and product teams to shape infrastructure strategy, align roadmaps, and drive end-to-end execution for critical initiatives across training, evaluation, and inference. You’ll help ensure our systems are reliable, efficient, and capable of supporting rapid iteration as we scale AI experiences to millions of users. This role is a good match for someone who thrives in technically complex environments, enjoys bringing structure to ambiguous problem spaces, and can drive alignment across deeply cross-functional teams. You’ll often operate at the intersection of research and production, helping teams navigate tradeoffs between speed, quality, and reliability. You should be comfortable influencing without authority, anticipating risks early, and keeping large, interdependent efforts moving forward. What You’ll Do - Lead planning and execution of major AI infrastructure initiatives spanning training pipelines, data systems, model evaluation, and inference/serving - Build structures that keep teams aligned: scopes, goals, requirements, timelines, risks, and success metrics - Partner with engineering, research, and product to translate model and product needs into infrastructure roadmaps and priorities - Drive cross-functional accountability and communication across teams working on tightly coupled systems - Track key infrastructure metrics (e.g., reliability, latency, throughput, cost efficiency) and define reporting that surfaces progress and risk - Identify bottlenecks in infrastructure workflows and lead efforts to improve tooling, automation, and developer velocity - Support capacity planning and resource allocation to ensure infrastructure scales with model and product growth - Develop repeatable frameworks and operational patterns that improve execution quality across infrastructure programs - Serve as a strategic partner to leaders on prioritization, sequencing, and tradeoffs across infrastructure investments. - Work closely with AI cloud providers and serve as the primary bridge between internal engineering teams and external partnership efforts. - Technical understanding of GPU clusters, AI accelerator chips, and cloud providers to effectively evaluate requirements and guide infrastructure decisions. What You’ll Bring - 5–8 years of experience in program management, technical operations, or product execution in a fast-moving, technical environment - Proven ability to lead complex, multi-team initiatives spanning engineering and infrastructure systems - Strong communication skills with the ability to bridge technical and non-technical stakeholders - Experience working closely with engineering teams on distributed systems, cloud infrastructure, or platform development - Ability to break down ambiguous problem spaces into clear plans and drive alignment across teams - Analytical mindset with experience using data to inform decisions and measure impact - Strong ownership and execution mindset, with the ability to manage multiple priorities simultaneously ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and wel

👤 HumanFull-timeSenior

By Character.AIJul 18, 2026

Senior Software Engineer - Agentic Tooling & Produ...

Negotiable

Scale AI is hiring a highly skilled Senior Software Engineer to help design, build, and operate secure, scalable infrastructure that empowers our employees to do their best work. You’ll join a creative, fast-moving, solutions-oriented group that architects and implements automation across identity and access management, endpoint management, and our broader SaaS stack. The ideal candidate will leverage various in-house and external models/platforms to build applications, slackbots, and dashboards for internal users, and streamline complex workflows through automation. This role will play a major role in elevating the overall velocity of all G&A teams at the organization. The Impact You Will Have - As a full stack engineer (60% BE / 40% FE), you will work with your team to build amazing tools/applications for internal company use as well as external customers/partners - You will design, develop, test, and support full-stack applications on cloud-native distributed systems - You will build real-time integrations with SaaS platforms across the organization - You will build a quality framework/unit tests that ensure product quality, performance, and load and are able to debug/identify system issues - You will collaborate with the broader teams, engage in engineering council, conduct code reviews, and improve our delivery process - Collaborate with the IAM team to manage cloud-based identity (Okta) and access controls, ensuring compliance with security policies and standards for internal applications. - Work heavily cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions. What We Look For - 5+ years of related experience with a Bachelor’s degree; or equivalent work experience. - Proficiency with UI frameworks such as React or Angular and HTML, CSS, Typescript, etc - Proficiency with backend technologies, including API development, databases, and privacy permissions. Ex. Go, Python, PostgreSQL and GraphQL - Experience with end-to-end testing and documentation - Experience developing secure, scalable, and resilient applications on the cloud that handle sensitive data - Experience with cloud technologies, e.g., AWS, Azure, GCP, Docker, or Kubernetes - Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST. 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. <div class="ti

👤 HumanFull-timeSenior

By Scale AIJul 18, 2026

Engagement Manager (Hawaii), Public Sector

Negotiable

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 a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance - 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with customers in locations throughout the Oahu area 4 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: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government - Prior experience at an API technology company and / or managing technical customers using an API - A technical degree in computer science, engineering, or related field - Proficiency in Python, SQL or other programming languages - Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc) 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 gener

👤 HumanFull-timeSenior

By Scale AIJul 18, 2026

Senior Manager, Procurement Operations

$216,000 – $240,000

About the Team OpenAI is building Procurement of the future: one that uses AI-enabled systems, clean data, and scalable processes to help the business absorb increasing complexity, speed, volume, and throughput while enabling teams across OpenAI to operate more strategically and at greater scale while managing risk responsibly. The Procurement Operations team supports the operational flow of purchasing across OpenAI, helping teams turn business needs into complete, policy-aligned, and executable procurement activity. We partner across Procurement, Finance, Legal, Security, Accounting, Accounts Payable, Systems, and business teams to improve how requests, suppliers, purchase orders, approvals, data, documentation, and downstream handoffs move through our systems. As OpenAI scales, we are building procurement operations that can absorb increasing complexity without adding unnecessary friction. That means using AI thoughtfully, simplifying where we can, strengthening operating discipline where we must, and continuously improving how our stakeholders experience procurement. About the Role We are hiring two Senior Managers, Procurement Operations to manage the operational backbone of how OpenAI turns requests into committed, controlled, and payable spend. One role will focus on Technology categories, and the other will focus on Corporate Services categories. These roles are not removed from the work. You will be expected to review requests in the system, make or guide request and PO updates, resolve operational issues, and use that firsthand view to identify what needs to change. You will push the envelope without losing the thread on risk, staying close enough to the details to understand where friction, ambiguity, and control gaps show up. You will help improve procurement outcomes across intake, purchase requests, PO quality, supplier coordination, approval workflows, documentation, service delivery, and downstream financial handoffs. You will oversee and improve operating effectiveness across existing controls and lifecycle processes, using data, AI-enabled tools, automation, and strong judgment to reduce friction while improving compliance, accountability, and speed. What we’re looking for: We’re looking for someone who can both operate and improve the system. This person will be hands-on in procurement operations while helping build the next version of how the work gets done: clearer standards, stronger operating discipline, cleaner data, smarter workflows, and more AI-enabled ways of working. The right person brings critical thinking, strong relationship management, high attention to detail, and the ability to see patterns across requests, stakeholder friction, system gaps, and risk signals. They can help move Procurement Operations toward a more scalable, exception-based operating model without losing speed or control. You bring: - 7+ years of procurement operations, P2P, sourcing operations, finance operations, supply chain operations, business operations, or related experience in a fast-moving environment. - High AI fluency, with demonstrated ability to use AI tools to improve how work gets done, reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage. - Experience leading cross-functional operational programs with measurable improvements in service quality, operating effectiveness, cycle time, compliance, or stakeholder experience. - Advanced procurement operations judgment and the ability to independently resolve complex tasks while knowing when to seek guidance on higher-risk issues. - Strong understanding of how procurement decisions affect downstream financial outcomes, supplier experience, accounting accuracy, invoice readiness, commitment visibility, and business velocity. - Strong systems orientation, with experience using procurement, ERP, intake, ticketing, supplier, or workflow tools such as Zip, Oracle, Coupa, SAP, NetSuite, Jira, ServiceNow, or similar platforms. - High attention to detail and a strong sense of ownership for documentation quality, fiscal controls, audit readiness, and operating discipline. - Ability to identify patterns in operational issues and translate them into better processes, standards, workflows, and system improvements. - Practical judgment around AI adoption: knowing where AI can accelerate work, where human review matters, and how to build trust in new ways of working. - Comfort working across Procurement, Finance, Legal, Security, Accounting, Accounts Payable, Systems, and business stakeholders. - Clear communication skills and the ability to explain tradeoffs between speed, control, policy, and risk in a practical, enablement-focused way. - Ability to operate in ambiguity, bring structure to evolving processes, and raise the bar as the business scales. In this role, you will: - Lead cross-functional procurement operations programs that support business priorities and functional strategy. - Own end-to-end execution of complex procurement operations initiatives across intake, request review, request updates, PO creation, PO maintenance, supplier coordination, approvals, documentation, and downstream handoffs. - Review requests in procurement systems, make or guide request and PO updates, resolve operational issues, and use those patterns to improve how the lifecycle works. - Design scalable processes, metrics, operating cadences, control checkpoints, and AI-enabled workflows that reduce friction while improving compliance, accountability, and operating effectiveness. - Identify recurring operational issues, separate symptoms from root causes, and build systems, playbooks, or process improvements that prevent repeat problems. - Partner with business stakeholders to clarify requirements, resolve blockers, and keep procurement activity moving with the right level of control. - Balance urgent business needs with policy requirements, approval controls, auditability, financial accuracy, and responsible risk management. - Improve service delivery and operating leverage in measurable ways, including cycle time, PO quality, exception rates, documentation completeness, invoice readiness, commitment visibility, and close readiness. - Work closely with Procurement, Finance, Legal, Security, Accounting, AP, and Systems teams to improve handoffs, governance, reporting, and stakeholder experience. - Build practical documentation, SOPs, playbooks, dashboards, templates, self-service guidance, and intake logic that make procurement easier to navigate. - Influence stakeholders without formal authority, driving alignment through clear communication, sound judgment, and strong relationships. - Mentor peers and junior teammates by raising execution quality, sharing context, and modeling thoughtful decision-making in ambiguous situations. You might thrive in this role if you: - Are energized by challenging current ways of working and building better operating models without creating unnecessary process. - Are already using AI tools to improve quality, speed, analysis, documentation, or decision support. - Care about creating clean, scalable foundations that allow teams to move faster with more confidence. - Enjoy turning operational complexity into clear standards, better workflows, stronger operating discipline, and smarter systems. - Are comfortable being hands-on while also improving the system, process, and operating model around the work. - Can balance a high bar for accuracy, risk management, and control with a practical, enablement-focused approach to helping the business move quickly. - Operate with ownership, humility, and a builder mindset. You improve the system, strengthen operating discipline, and make the work easier for others to execute well. 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. 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.

👤 HumanFull-timeMid

By OpenAIJun 30, 2026

Staff Software Engineer, Full Stack - Gen AI

Negotiable

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering. Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native. You will: - Deploy flexibly into critical, fast-moving product initiatives across the CB organization - Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models. - Lead architecture decisions for scalability, reliability, and performance - Mentor and uplevel engineers across the team - Partner with product and leadership to shape roadmap and priorities - Own large, ambiguous problem spaces end-to-end - Work across backend, frontend, and ML systems Ideally you'd have: - 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer. - Track record of shipping high-quality products and features at scale - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) 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,

👤 HumanFull-timeExpert / Staff+

By Scale AIJul 18, 2026

People Technology Lead

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make: At Recursion, we are decoding biology to radically improve lives. Scaling our impact at the intersection of machine learning and experimental science requires world-class People systems. We’re seeking a Global People Technology & Architecture Lead for our global HR technology ecosystem. This role owns HiBob configuration, workforce analytics, system integrations, compliance, and AI-enabled innovation across the People function. You will ensure our People infrastructure is scalable, intelligent, and built to support a rapidly evolving scientific and technical workforce across the US, UK, and Canada. This is a high-impact role for a systems thinker who blends hands-on technical expertise with strategic workforce insight. Our ability to move faster in decoding biology depends on having the right talent, supported by the right systems. This role ensures Recursion’s People technology ecosystem is scalable, insight-driven, compliant, and aligned to our ambitious growth. In this role, you will: - Serve as functional and technical owner of HiBob across Core HR, Compensation, Talent, and Workforce Planning, and technical owner of Greenhouse, PAVE, Bridge and other people technology tools - Lead system enhancements, design, and vendor management - Assist in driving tech stack optimization and scalable system architecture in partnership with IT and Finance - Identify and implement AI and automation solutions that streamline workflows and enhance our manager and employee experiences - Build intelligent systems that elevate decision-making and operational efficiency. - Translate workforce data into actionable insights that inform organizational design and capacity planning, while developing dashboards and advanced reporting - Oversee integrations across HRIS, payroll, benefits, and enterprise systems, while maintaining data integrity, audit readiness, and global compliance standards. The Team You Will Join: Recursion’s People Team creates the conditions to enable and sustain high-performing teams, and helps employees do the best work of their careers. We are talent scouts and partners, creating experiences and outcomes that support our employees and drive business success. We focus on scalable solutions that add value across geographies, while providing individual advisory partnership and support where it matters most. With a people + data approach, we ensure Recursion has the people, culture, and operating dynamics to accelerate drug discovery and get medicines to patients faster. The Experience You’ll Need: - 8+ years leading HRIS, People Analytics, and HR technology initiatives in scaling, multi-entity organizations - Proven experience implementing AI-enabled people tools end-to-end, including vendor selection, business case development, data readiness, change management, and post-launch optimization - Deep hands-on expertise in HiBob, including workflow configuration, permissions architecture, lifecycle automation, compensation cycles, reportin

👤 HumanFull-timeSenior

By RecursionJul 18, 2026

Senior Machine Learning Engineer, CX Intelligence

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help. What you'll do: - Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. - Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. - Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. - Establish best practices for system design, coding standards, and AI/ML development workflows across the team. - Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. - Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance. Required Skills and Experience: - 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale. - Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. - Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code. - Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling. - Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency N

👤 HumanFull-timeRemoteSenior

By CoinbaseJul 18, 2026

Principal Research Engineer, Post-Training

Negotiable

About the Role and Team As a Principal Research Engineer on the Post-Training team, you will drive the technical vision, execution, and evolution of the systems that transform foundation models into intelligent, engaging, and aligned products. Specifically, your team focuses on post-training of top-tier OSS LLMs (such as Mistral and Qwen) to power the highly immersive role-playing chat features of Character.AI http://Character.AI. You will lead initiatives spanning data, algorithms, infrastructure, and evaluation, helping define how our models learn from feedback and improve over time. This is a highly cross-functional role that combines deep technical expertise with organizational leadership. You will partner closely with researchers, engineers, product teams, and infrastructure teams to identify the highest-leverage opportunities for improving model performance and user experience. Your work will directly shape the conversational experiences of millions of users every day. At Character.AI http://Character.AI, you will have the opportunity to influence both the direction of our research and the systems that bring it into production, helping build the next generation of AI entertainment. What You'll Do - Technical Leadership & Mentorship: Define and drive the technical roadmap for mid- and post-training systems, balancing research innovation with production reliability and scalability. You will mentor and grow a team of researchers and engineers through technical guidance, design reviews, and career development. Establish best practices for experimentation, model development, and deployment. - Research & Model Development: Lead the development of alignment algorithms, optimization techniques, and training objectives to improve model capabilities and data efficiency. Drive advances in mid- and post-training methodologies including reinforcement learning, preference optimization, supervised fine-tuning, and emerging alignment approaches. Identify and execute high-impact research opportunities that improve model behavior, safety, and user engagement. Develop robust evaluation frameworks and quality signals to measure real-world model performance. - Systems & Infrastructure: Lead the design of efficient training and inference systems for large-scale generative models. Architect scalable data pipelines that transform diverse data sources into high-quality training datasets. Partner with infrastructure teams to optimize distributed training, GPU utilization, and serving efficiency. Drive improvements in experimentation platforms, data quality systems, and model observability. Who You Are (Required Qualifications) - PhD in Computer Science, Machine Learning, AI, or a related field, or equivalent industry experience. - Significant experience leading technical projects or teams in machine learning, AI research, or large-scale distributed systems. Experience scaling and mentoring high-performing research and engineering teams. - Deep understanding of modern machine learning techniques, including transformers, reinforcement learning, alignment methods, and large language models. - Strong track record of delivering impactful research or applied ML systems in production environments. - Expertise in designing, building, and maintaining production-quality ML systems and infrastructure. - Experience training, serving, debugging, and optimizing large-scale models on GPU-based systems. - Experience leading teams working on large language model training, mid-training, or post-training. - Experience with product experimentation, online evaluation, and A/B testing frameworks. - Strong software engineering skills with the ability to write clean, maintainable, and scalable code. - Excellent communication skills and the ability to influence technical direction across teams. Lead complex, cross-functional initiatives across data, training infrastructure, evaluation, and model serving. Nice to Have - Hands-on experience working directly with open-sourc

👤 HumanFull-timeExpert / Staff+

By Character.AIJul 18, 2026

Forward Deployed Engineer - Systems

Negotiable

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: Modal is seeking an experienced Forward Deployed Engineer (FDE) to partner with our sales team and drive technical sales success. As an FDE, you will be the technical voice in our sales process, working directly with Account Executives to help enterprise customers understand how Modal can transform their AI/ML infrastructure. You will: - Partner with Account Executives to identify, qualify, and close strategic enterprise opportunities - Lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements - Design and present compelling technical solutions that demonstrate how Modal addresses customer needs - Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform - Conduct technical demos, experiments, and proof-of-concepts that showcase Modal's capabilities - Navigate complex technical evaluations and address security, compliance, and integration concerns - Build trusted advisor relationships with technical decision-makers including CTOs, VPs of Engineering, and ML Engineering leads - Collaborate with product and engineering teams to communicate customer feedback and influence product roadmap - Support contract negotiations by providing technical expertise on implementation timelines, resource requirements, and success metrics REQUIREMENTS: - 5+ years of experience in solutions engineering, sales engineering, or customer-facing technical roles - Deep hands-on experience with cloud platforms (AWS, GCP, Azure) including compute, storage, networking, and managed services - Strong knowledge of containerization technologies (Docker, Kubernetes, container orchestration) - Experience with databases (SQL/NoSQL), data pipelines, and distributed systems architecture - Understanding of ML/AI infrastructure challenges including model training, inference, and MLOps workflows - Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD pipelines - Proven track record of supporting enterprise software sales cycles ($100K+ ACV) - Exceptional presentation and communication skills with ability to explain complex technical concepts to both technical and business audiences - Strong business acumen with understanding of enterprise buying processes and procurement - Experience building migration strategies and implementation roadmaps for large-scale infrastructure changes - Ability to work effectively with cross-functional teams including sales, product, and engineering - Experience selling or implementing serverless computing, container platforms, or ML infrastructure solutions

👤 HumanFull-timeSenior

By ModalJul 18, 2026

Principal Security Engineer, Infrastructure Securi...

$401,000 – $510,000

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Principal Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. As a principal engineer, you will set technical direction and drive execution on high-impact infrastructure security programs, partnering across various orgs at OpenAI to deliver durable controls that raise the security bar at OpenAI scale. In this role, you will: - Own end-to-end security outcomes for one or more critical infrastructure areas, including multi-quarter strategy, roadmap, and delivery. - Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. - Lead cross-functional programs to deploy security enhancements and control changes across broad-scale infrastructure, balancing security guarantees with reliability and velocity. - Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. - Lead and/or drive threat modeling and design reviews for major infrastructure changes, ensuring strong security foundations and operational excellence. - Mentor and level up engineers across InfraSec and partner teams, contributing to a strong security culture through guidance, reviews, and technical leadership. You will thrive in this role if you have: - Deep understanding of security principles, best practices, and common vulnerabilities, including strong security judgment under ambiguity - A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling. - Expertise and curiosity about using frontier models and agents to effectively solve security challenges. - A track record of leading large, cross-org initiatives from concept to rollout, including navigating tradeoffs, driving alignment, and delivering measurable risk reduction. - Deep expertise in the security of cloud platforms (e.g., Amazon AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud-agnostic systems. - Experience securing on-prem deployments and datacenters from construction to multi-tenant use. - Familiarity with container security, orchestration security, and authentication/authorization. - Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks. - Excellent communication skills, with the ability to convey complex security concepts to executive, technical, and non-technical stakeholders. - Excitement about collaborating with cross-functional teams to build secure, reliable systems that scale globally. 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.

👤 HumanFull-timeRemoteMid

By OpenAIMar 25, 2026

National Security Policy Lead, Biotech

Negotiable

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 looking for a Biotech Policy Lead to lead our work on the biological dimensions of frontier AI policy. Reporting to the Head of National Security Policy, you will shape and lead Anthropic's external policy posture on biology issues across the U.S. federal government, allied democracies, and the biotech and life sciences community, and will help shape how AI strengthens US competitiveness through biotechnology during a critical period in AI development and governance. You will serve as Anthropic's principal biotech policy voice with the federal government and Congress, relevant agencies and program offices, and allied government counterparts. You will translate Anthropic's research on frontier model biological capabilities into concrete policy proposals, partnership opportunities, and meaningful contributions to public debates. Key responsibilities - Develop strategies for AI to strengthen U.S. and allied bio-innovation capacity and biotechnology competitiveness - Develop and lead Anthropic's external biotech policy strategy across U.S. federal stakeholders, allied governments, and life sciences sector regulators - Engage in thought leadership and planning for how increasingly capable AI reshapes the biotechnology landscape — including global competitiveness, supply chain resilience, and equitable access to AI-accelerated medicine, as well as biosecurity - Support and promote collaborations with biosecurity practitioners and biotech industry players across public and private sectors, including on model testing, red teaming, synthesis-screening partnerships, and defensive deployment of frontier AI in biosurveillance - Collaborate with technical teams, including CBRNE Safeguards, the Frontier Red Team, and our biology research efforts, to translate biological model research and evaluations into concrete policy proposals, stakeholder education, and public contributions - Coordinate with national security policymakers on threat intelligence sharing and safeguard implementation, working closely with Anthropic's CBRNE Safeguards team - Drive "race to the top" dynamics across the AI industry, including engagement with other frontier labs and the Frontier Model Forum on shared bio standards and safeguard adoption - Build and deepen international biotech partnerships, including with Five Eyes counterparts and multilateral institutions, and contribute to thinking on areas of potential international alignment on biotech competitiveness and biological safety - Partner closely with the Head of National Security Policy, the broader Public Policy team, Safeguards, the public sector go-to-market team, Legal, Communications, Product, and Research to ensure coherent execution across bio workstreams Minimum qualifications - Hold an active TS/SCI clearance or held one in the last two years, and have the ability to obtain and maintain one - Have working knowledge of both biotech and biosecurity policy — e.g., bio-innovation capacity, sy

👤 HumanFull-timeSenior

By AnthropicJul 18, 2026

Manager, Enterprise Account Executive, Tech

Negotiable

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 a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with top enterprises in the Tech space. You'll leverage your leadership and consultative sales expertise to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help customers embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing people, identifying market opportunities, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities - Build and lead a high-performing team of Enterprise Account Executives, providing coaching, mentorship, and guidance to drive team success - Develop and implement sales strategies to meet and exceed team revenue quotas - Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems - Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness - Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales - Enable your team to have credible technical conversations while maintaining appropriate guardrails - Build strong partnerships across the organization to drive strategic initiatives - Identify and execute on new market opportunities and use cases for Anthropic's AI solutions - Gather and synthesize customer feedback to inform product direction and enhance customer experience - Build and continuously refine the sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you - 7+ years of enterprise sales experience driving adoption of emerging technologies - 5+ years of sales leadership experience, ideally 3+ leading teams within the the Enterprise segment - Proven track record of building and leading high-performing sales teams, with demonstrated success in coaching and developing AEs - Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations - Strong technical acumen and ability to understand complex AI solutions, with experience enabling teams to have credible technical conversations - Track record of s

👤 HumanFull-timeSenior

By AnthropicJul 18, 2026

Head of Healthcare GTM

Negotiable

Negotiable

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward. WHAT YOU'LL DO - Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt - Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations - Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably - Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously - Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams - Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring - Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces WHAT WE'RE LOOKING FOR - 6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches - Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build - Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse - Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand - Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production - Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work - Builder mentality - you see a ma

👤 HumanFull-timeExpert / Staff+

By PerplexityJul 18, 2026

Staff+ Software Engineer, Inference Runtime

Negotiable

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 Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff Engineer to be a technical lead for Inference Runtime: the team that owns the shared, accelerator-agnostic core of our inference serving stack, whose performance, correctness, and abstractions every accelerator builds on. This is a senior IC role with broad technical ownership. You'll set technical direction for the runtime's architecture, its release and validation systems, and the workflows engineers use to develop on top of it. You will partner across Inferencing to make hard calls on boundaries, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work, representing the team in cross-org efforts spanning serving, scaling, and accelerator teams. This role is for someone who has been the technical anchor of a platform with many internal consumers, who thinks in systems and feedback loops, and who gets real satisfaction from building abstractions that hold up as the system scales another order of magnitude. Key responsibilities - Set technical direction for the team, owning the architecture and roadmap for the shared runtime of the inference serving stack - Own and evolve the accelerator-agnostic runtime itself – its interfaces, internal boundaries, and build structure – including hands-on work in a performance-sensitive Rust and Python codebase - Keep the platform's expansion cost low by ensuring new models and deployment targets pay only for their own specialization, and edge cases stitch back into the core easily - Drive efficient accelerator usage – utilization, scheduling, memory management – across GPU, TPU, and Trainium - Build the runtime's validation surface around partitioned builds, change-scoped testing, and canary/shadow/rollback as first-class mechanisms - Act as a technical counterpart to Anthropic's central Infrastructure org on the compilers, build systems, and toolchains the runtime depends on, contributing Inference's performance and correctness requirements, and making the call on build vs. adopt - Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount Minimum qualifications - Deep background in systems engineering or ML infrastructure, with the ability to go hands-on with performance profiling, latency and throughput optimization, and systems debugging at scale - Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to keep the runtime agnostic across all of them

👤 HumanFull-timeRemoteExpert / Staff+

By AnthropicJul 18, 2026

Senior Machine Learning Engineer (Fraud)

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve. What you’ll do - You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve. - Identify and implement foundational improvements to how the team builds models. - You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience. - Track record of delivering high impact machine learning models in a low latency live setting - Strong Python skills and experience writing production-quality code. - Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar). - Experience with a deep learning framework (PyTorch preferred). - Experience working with distributed data processing or parallel compute frameworks (Spark preferred; Ray/Dask or similar). - Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms). - Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Gra

👤 HumanFull-timeRemoteSenior

By AffirmJul 18, 2026

AI Builder Intern

Negotiable

ABOUT THE ROLE This isn't a research internship. You won't spend the summer writing reports or sitting in strategy meetings. You'll spend it building — shipping AI-powered tools, automating workflows, and deploying agentic systems that real teams at Scale AI use every day. Embedded in the Data & Technology org, you'll work directly alongside engineers, data scientists, and ops leads on live automation initiatives. If you have strong instincts for what AI can do today, a bias for building over theorizing, and a fluency in modern LLM tooling — this role is for you. ──────────────────────────────────────── WHAT YOU'LL BUILD Agentic Workflows & Automation → Design and deploy multi-step agentic workflows using LLM-integrated frameworks (LangChain, LangGraph, CrewAI, or similar) → Build API-connected automations that tie together internal tools — Slack, Salesforce, Notion, and internal data systems → Prototype and iterate fast; build things that work, then make them better AI Tooling & Internal Products → Develop lightweight internal tools and dashboards that surface AI outputs to business teams → Vibe-code functional UIs — React, plain JS, or whatever gets to working fastest — for internal adoption → Identify friction points in current workflows and propose AI-first replacements Measurement & Signal → Instrument your own work — capture usage signals, time-saved estimates, and adoption metrics from day one → Contribute to the org's ROI measurement framework by tagging your projects to defined value categories ──────────────────────────────────────── A NOTE ON "VIBE CODING" We're not precious about how code gets written. Use Cursor, Claude, Copilot, or whatever gets you from idea to working demo in hours, not weeks. We care about judgment, craft, and what ships — not keystroke attribution. ──────────────────────────────────────── WHAT WE'RE LOOKING FOR → Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) — you've built something real with them → Comfortable with Python and/or JavaScript; able to read and write production-quality code → Familiarity with at least one agentic or automation framework (LangChain, AutoGen, n8n, Zapier + LLM, etc.) → Strong product instincts — you think about who will use what you build and why it matters → Able to move fast without breaking things that matter; iterative, scrappy, but deliberate → Currently enrolled in an undergraduate or graduate program in CS, data science, engineering, or related field ──────────────────────────────────────── BONUS POINTS → Prior internship or project experience in a BizOps, RevOps, or enterprise automation context → Experience integrating Slack, Salesforce, or finance/ops systems via APIs → You've built something with a multi-agent architecture — even a side project counts → Familiarity with prompt engineering, RAG pipelines, or LLM evals → An active GitHub, portfolio, or side project that shows what you can do ──────────────────────────────────────── WHY SCALE AI Scale AI is building the data infrastructure behind the world's most capable AI systems. As an AI Builder Intern on the Data & Technology team, you'll work inside one of the most AI-native organizations in the world — deploying the same tools you're learning about in an environment where the stakes are

👤 HumanContractEntry

By Scale AIJul 18, 2026

Machine Learning Engineer

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Our Applied ML team aims to reform how our users interact with Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include helping our users resolve issues with Stripe faster or making it easier for our users to sign up and navigate Stripe. We are using the latest LLMs as well as fine-tuning our own models. We're an end-to-end team going from ideas to models to shipping in production. You can learn more about our team’s work from this recent talk . What you’ll do As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to production. You will also have the opportunity to contribute to and influence ML architecture at Stripe as well as be a part of a larger ML community. Responsibilities Our team operates fluidly and here are some problems you may tackle: - How do we evaluate a system offline & online? - How do we improve performance to match (and beat) humans? - How do we ensure model quality doesn’t degrade online? - Does fine-tuning an LLM give us better performance? - What are the right OSS and in-house platforms we should invest in? And in the process you will: - Develop pipelines and automated processes to train and evaluate models in offline and online environments - Integrate ML models into production systems and ensure their scalability and reliability - Collaborate with product and strategy partners to propose, prioritize, and implement new product features - Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions Who you are We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. Minimum requirements - Have at least 3 years of experience shipping ML systems in production - Hold yourself and others to a high bar when working with production systems - Take pride in taking ownership and driving projects to business impact - Thrive in a collaborative environment Preferred qualifications - 5+ years of experience in full time software development roles - Experie

👤 HumanFull-timeSenior

By StripeJul 18, 2026

Audio Engineering (Freelance)

Negotiable

ABOUT THE ROLE Productions is the 'done for you' managed services wing of ElevenLabs made for creators and media businesses. We bring together our AI audio tools and human experts to unlock human-edited dubs, audiobooks, and more in 15+ languages directly on the ElevenLabs platform. Here are a few recent projects Productions has helped bring to life: - Dubbing for some of the world's biggest creators (DudePerfect, Lex Fridman, Andrew Huberman) and media businesses - Audiobook production for leading publishers and digital storytelling platforms - Voice creation, sound design, and other audio engineering services for ElevenLabs' largest customers - You can learn more about Productions here: https://elevenlabs.io/productions AS AN AUDIO ENGINEER, YOU WILL: - Create, refine, and iterate on custom voices for ElevenLabs customer using different techniques - Clean, edit, and prepare customer audio to ensure optimal cloning and generation quality - Provide hands-on training and technical guidance on ElevenLabs tools and best practices - Work on Audio Quality rated labeling projects REQUIREMENTS - 3–5+ years experience in audio engineering, sound design, mixing/mastering, or related fields - Experience working directly with clients, creative teams, or technical stakeholders - Strong proficiency with DAWs (e.g., Pro Tools, Reaper, Logic, Ableton) - Deep intuition for voice characteristics, timbre, clarity, and performance nuance - Ability to translate ambiguous customer needs into clear audio and voice-design solutions - Strong organizational discipline for operating within a time-based service model LOCATION This role is remote and can be executed globally

👤 HumanFull-timeSenior

By ElevenLabsJul 18, 2026

Director, Growth Sales (AI & Digital Natives)

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Seattle, WA OR Los Angeles, CA About the Role: We are seeking an entrepreneurial Sales Director to lead our DN/AI Growth Segment, focusing on both the acquisition and expansion of our fastest-growing Startup accounts. In this role, you will scale a high-performing team tasked with bringing the world’s most innovative AI companies onto Cloudflare's platform. To thrive, you must bring a founder mentality and deep familiarity with the VC ecosystem to capture high-growth startups at inception. You possess a sharp understanding of the dynamics of the hyperscaler market and the AI landscape, allowing you to position Cloudflare as the definitive infrastructure layer for modern workloads. Finally, you are highly familiar with PLG sales motions, knowing exactly how to identify high-potential, self-serve developer accounts and seamlessly transition them into enterprise expansions. Responsibilities: - Own and exceed quarterly revenue targets, driving both high-velocity new logo acquisition and strategic account expansion within the AI and startup ecosystem. - Recruit, coach, and develop a world-class sales team, instilling a high-tempo, execution-oriented culture tailored to technical buyers. - Effectively articulate Cloudflare’s value proposition across our connectivity cloud, including Workers AI, R2 storage, network security, and developer platforms. - Partner closely with Product, Growth, and Marketing to seamlessly convert self-serve developer usage into structured enterprise agreements. - Act as a key executive sponsor for high-growth startups, founders, and VC partners, positioning Cloudflare as the foundational architecture for the next generation of tech. You might be a good fit if you have: - 10+ years of experience in enterprise software sales with at least 3+ leading sales teams - A proven track record of leading high-performing sales teams in the clou

👤 HumanFull-timeExpert / Staff+

By CloudflareJul 18, 2026

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