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AI Deployment Engineer, Startups
Technical success role partnering with startup customers to build and scale generative AI applications on the OpenAI API. The role combines hands-on prototyping, workflow debugging, prompt and agent iteration, customer guidance, and structured feedback back into product and research. It targets engineers with strong software or ML backgrounds, practical LLM experience, and the ability to move from ideation to production with startup teams.
Technical Program Manager, Product Experience
Character.AI is looking for a high-leverage, force-multiplying Technical Program Manager (TPM) to partner directly with our Chief Product Officer (CPO). In this role, you will operate across the entire product and design purview of the CPO to ensure our core development engines run seamlessly. This is not a traditional, rigid corporate TPM role. We are looking for someone with "fixer energy"—a relentless, high-agency problem-solver who possesses a founder's mindset, exceptional execution skills, and the technical weight to act as a core operational extension of the CPO. You will be the ultimate guardian of momentum: chasing down engineering bottlenecks, optimizing cross-functional roadmaps, and ensuring team velocity scales alongside our technology. Key Responsibilities Operational Rigor & Technical Execution - Keep the Trains Running on Time: Own the end-to-end execution of major initiatives under the CPO's umbrella, ensuring critical product, design, and engineering milestones are hit without friction. - Eliminate Blockers: Proactively manage cross-functional dependencies across product, design, and engineering teams. Your primary metric of success is that development is never left stalling for information or decisions. - Drive Accountability: Attend weekly core team meetings, capture critical technical notes, synthesize action items, and relentlessly chase down owners to ensure rigorous follow-through. - Process Evolution: Analyze how teams are currently working and design/implement lightweight, scalable processes to improve cross-functional execution across the software development life cycle (SDLC). Strategic Alignment & Technical Delivery - Product & Design Sync: Build deep context on the CPO's vision and product strategy to seamlessly bridge the gap between creative design concepts and technical implementation. - Unstructured Problem Solving: Roll up your sleeves to solve ambiguous, complex technical or operational problems that don't neatly fall into a single team's bucket. - AI-Driven Workflows: Actively leverage AI tools (like Gemini) to optimize team workflows, ensure project knowledge is captured efficiently, and explore agentic workflows to enhance team intelligence. Who You Are - Founder Energy & High Agency: You possess extreme ownership. You don't wait to be told what to do—you see a gap, you fill it, and you autonomously solve problems. - Execution Machine: You have a strong background in technical program management, product management, or an intensive technical operations role where you have successfully navigated fast-moving tech roadmaps. - High Cognitive Agility: You can pivot from a deep-dive technical alignment with engineers to high-level roadmap prioritization with design and product leaders in the span of an hour. - Relentless Communicator: You are crisp, direct, and excellent at synthesis. You know how to get to the point quickly and ensure information flows seamlessly across the organization. - AI-Curious: You have a genuine fascination with artificial intelligence and are eager to experiment with cutting-edge tools to optimize operational efficiency. Qualifications & Background We care far more about your capability, trajectory, and "fixer energy" than a rigid checklist of past titles. You might be an incredible fit if you are a: - Technical Program Manager (TPM) or Product Manager (PM) looking for a highly impactful, executive-facing execution role. Experience enabling product/design teams to become "AI-ready" is a major plus. - Former Founder who loves the early-to-mid stage tech grind but wants to focus heavily on hyper-scale execution and organizational stability. - Management Consulting Alum (particularly from technical or digital practices) with a proven track record of intensive work, extreme attention to detail, and cross-functional influence. - Seasoned Operational Leader—a highly capable, mature operator who brings stability, structured execution, and mentorship to a fast-growing team. A
Enterprise Solutions Engineer - Spain
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. This role is remote but the successful candidate should be based in Spain. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology
Research Engineer, Pretraining Scaling
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: - Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability - Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure - Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance - Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams - Build and maintain production logging, monitoring dashboards, and evaluation infrastructure - Add new capabilities to the training codebase, such as long context support or novel architectures - Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams - Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: - Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems - Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other - Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure - Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs - Excel at debugging complex, ambiguous problems across multiple layers of the stack - Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents - Are passionate about the work itself and want to refine your craft as a research engineer - Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: - Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale - Contributed to open-source LLM frame
Safeguards Enforcement Analyst, Age-Appropriate De...
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 Safeguards Enforcement Analyst on the user well-being team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be on how Anthropic handles age. A core part of this work is making sure our consumer products reach the right audiences, including the detection signals, verification paths, and appeals workflows that keep underage users off surfaces not designed for them. Claude also reaches younger users through third-party developers building on our API, and you'll be the enforcement partner that sales and platform teams rely on when those customers need guidance on deploying age-appropriately. This position may expand into broader areas of user well-being enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy - Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems - Review flagged content to drive enforcement and policy improvements - Enforce usage policies with a focus on detecting and mitigating potential harmful use of AI systems - Work with Legal, Public Policy, and Privacy stakeholders to keep our age assurance approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape - Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios - Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows - Responsible for Anthropic's layered age assurance approach - self-declaration, behavioral signals, verification, and ban appeals - to keep our first-party consumer products safe - Adjacent user well-being enforcement where age is a key factor in how policy is applied such as sexual content and illicit substances Minimum qualifications - Experience in trust and safety, online child safety, age assurance, privacy, product policy, or a related field - Subject matter expertise in one or more of: age assurance or age verification systems, age-appropriate design, child online safety, privacy-preserving verification methods, or content classification for young people - Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together - Experience navigating evolving regulator
Safeguards Enforcement Analyst, Integrity & Authen...
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 Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals. Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events. Key responsibilities - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy - Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems - Review flagged content to drive enforcement and policy improvements - Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups - Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios - Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows Minimum qualifications - Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms - Experience standing up and scaling policy enforcement or content review workflows - Proficiency in SQL and/or other data analysis tools to draw insights from large datasets - Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications - Experience conducting cross-platform i
Anthropic Fellows Program, Reinforcement Learning
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. This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting . 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 progra
Forward Deployed Engineer - Software Engineer - Sp...
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 You’ll use your creativity, problem-solving, and technical expertise to design tailored solutions that make a real impact. Embedded with our most strategic customers, you’ll get a front-row seat to some of our highest-stakes projects. From brainstorming technical architectures and product features to building full-scale integrations, you’ll take full ownership of complex, high-impact challenges—helping clients achieve their goals and push the limits of what’s possible. What you will do: - Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions. - Collaborate daily with our customer’s engineers and executives teams to ensure the best use of ElevenLabs’ technologies. - Drive real innovation by using your coding and technical skills to solve complex problems, making a real difference for our customers. REQUIREMENTS - Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity - Proficiency in Python and strong software development knowledge, inclusive of a deep understanding of software development, software architecture, and APIs integration. - Excellent communication and problem-solving skills. Especially in terms of ability to
Operations Program Manager
Scale is looking for an Operations Program Manager (OPM) to drive system-level improvements, operational performance, and structural reliability across the region. In this role, you will act as both a systems owner and escalation authority—ensuring support workflows are scalable, efficient, and aligned with global standards while adapting to local operational needs. As our operations continue to expand, this role will be critical in identifying root causes, implementing durable fixes, and driving measurable improvements in key performance metrics. You will serve as the bridge between frontline execution and system design, ensuring consistency, stability, and continuous improvement across regional operations. You will be part of a highly collaborative and impact-driven team, working closely with Team Leads, SMEs, Product, Engineering, and Operations stakeholders. This role is ideal for someone who thrives in ambiguity, enjoys solving complex operational challenges, and is relentless in driving high-quality outcomes at scale. You will: - Identify recurring issue patterns and structural inefficiencies across the region - Lead retrospectives on operational breakdowns and implement durable, system-level fixes - Act as the escalation partner for complex and high-risk regional cases - Define and drive regional KPI improvements across SLA, CSAT, backlog health, and escalation rates - Track and measure the impact of operational changes and interventions - Influence SOPs, macros, and documentation to improve clarity and reduce ambiguity - Partner with Enablement to build scalable regional training programs - Act as a regional training lead to reinforce workflows, policies, and quality standards - Collaborate with Product, Engineering, and Operations to drive tooling and workflow improvements - Translate frontline insights into clear, actionable requirements for system enhancements - Identify risks within workflows and implement safeguards to improve consistency and reliability - Strengthen auditability and operational defensibility across the region Ideally you’d have: - Experience in operations, program management, or process improvement roles in high-volume environments - Strong analytical and problem-solving skills with a systems-thinking mindset - Experience leading cross-functional initiatives and driving measurable outcomes - Ability to identify root causes and implement scalable, long-term solutions - Strong communication skills across technical and non-technical stakeholders - Experience working with KPIs such as SLA, CSAT, backlog, and escalation metrics Nice to haves: - Experience in support operations, trust & safety, or platform operations - Familiarity with workflow tools (e.g., Zendesk or similar systems) - Experience building SOPs, training programs, or documentation frameworks - <p>
Standards Editor
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 The Editorial Standards team keeps Anthropic’s voice clear, accurate, and consistent. We maintain and evolve Anthropic’s editorial style guide and ensure that writers and editors at Anthropic have the tools they need to produce exceptional writing that makes our mission legible to the world. As Standards Editor, you’ll be responsible for the content that shapes how many people first encounter Anthropic. You’ll edit news, announcements, and research posts, and write and refine content for a range of brand surfaces. You’ll also own our standards and processes for getting work published. This is a role for someone who puts a premium on craft—who can match a draft to house style without losing a writer’s intent, distill a complex announcement into clear and compelling prose, and move a piece from draft to publication with nary a stray comma. You’ll own projects end-to-end with support and guidance from the team, work closely with and learn from experienced writers and editors, and contribute to the templates and norms that help all of Anthropic’s writers and editors publish faster and more consistently. Key responsibilities - Write and edit content for anthropic.com , ensuring clarity, accuracy, and consistency with our voice, as well as catching errors and tightening prose - Apply and maintain our editorial style guide - Partner with editors, brand, design, and web teams on cross-functional projects - Contribute to templates, processes, and Claude-assisted workflows that make publishing faster and more consistent Minimum qualifications - Exceptional writing and editing skills, with a portfolio of published work that demonstrates range across formats - Strong copy editing and proofreading ability, with a command of grammar, usage, and a recognized style guide (e.g., Chicago or AP) - Comfort working in a content management system (CMS) and publishing web content - A meticulous eye for detail and a track record of shipping polished, error-free work on deadline - Interest in AI, with the ability to write accurately and accessibly about complex, technical topics - Comfort taking ownership of your work in a fast-moving environment where processes are still taking shape Preferred qualifications - Experience editing announcements in-house at a technology company or media organization - Experience writing or editing for a brand with a distinctive, well-defined voice - Ability to write for social audiences and adapt tone and length across different channels and surfaces - Familiarity with web publishing workflows, basic HTML, and SEO fundamentals - Experience using AI tools like Claude to streamline editorial work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissio
Strategic Account Executive - Sweden - Financial S...
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. We're looking for an experienced, driven Senior Strategic Account Executive to drive ElevenLabs' growth across Sweden'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 Swedish 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 Sweden, 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. 4. Develop and
Strategic Account Executive - Sweden - Retail
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. We're looking for an experienced, driven Senior Strategic Account Executive to drive ElevenLabs' growth across Sweden's largest enterprises, with a specific focus on 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 Swedish retail and consumer brands — 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 Sweden, with a primary focus on Retail and consumer brands, 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 retail organizations. 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 and maintain a deep unders
Strategic Account Executive - Spain
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. We're looking for an experienced, driven Senior Enterprise Account Executive to drive ElevenLabs' growth across Spain's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Spanish organizations - 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 enterprise accounts across Spain - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - 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. 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 and maintain a deep understanding of the conversat
Capacity Systems Software Engineer
About the Team OpenAI's Industrial Compute organization is responsible for planning, delivering, operating, and optimizing the compute infrastructure that powers frontier AI. As OpenAI scales toward becoming an intelligence utility, Industrial Compute coordinates a complex lifecycle spanning infrastructure strategy, capacity planning, provider partnerships, fleet operations, product demand, and financial planning. The organization manages one of the largest and fastest-growing compute footprints in the world, where decisions around capacity allocation, deployment readiness, utilization, reliability, and product demand directly impact product availability, customer experience, and business performance. The Capacity Systems team builds the software platforms, data systems, and automation frameworks that connect these functions into a shared operating model. We transform fragmented planning workflows into scalable systems that enable teams to understand what compute was contracted, delivered, healthy, allocated, and ultimately converted into business and research outcomes. About the Role We are seeking a Capacity Systems Software Engineer to build the platforms and services that power Industrial Compute planning, forecasting, optimization, and operational decision-making. In this role, you will design and develop software systems that connect infrastructure delivery, fleet health, capacity allocation, demand forecasting, deployment readiness, financial planning, and product consumption into a unified system of record. Your work will help OpenAI make better decisions about where compute should be deployed, how capacity should be allocated, and how infrastructure investments translate into business value. You will partner closely with Capacity Planning, Fleet Operations, Infrastructure Engineering, Product, Finance, Supply Chain, and Strategic Sourcing teams to replace spreadsheet-driven workflows with scalable software systems that enable visibility, automation, and decision support across OpenAI's global compute footprint. This role is ideal for engineers who enjoy building internal platforms, operational systems, workflow automation, and data-intensive applications that sit at the intersection of software, infrastructure, and business operations. This role is based in San Francisco and follows OpenAI's hybrid work model of 3 days per week in the office. Why This Role Matters Demand for compute is growing faster than traditional planning systems can support. Capacity decisions increasingly require understanding complex tradeoffs across infrastructure delivery, fleet health, model deployment, latency, utilization, cost, revenue impact, and operational risk. The systems built by this team help transform compute from a collection of disconnected operational signals into a measurable, optimizable business capability. Success in this role will help create a world where every major unit of compute can be traced from infrastructure commitment through delivered business value, enabling faster launches, higher utilization, improved operational efficiency, and better decision-making across OpenAI. Key Responsibilities - Design and build software systems that serve as the system of record for Industrial Compute planning and operations. - Develop backend services, APIs, workflows, and data platforms that support capacity forecasting, allocation, deployment readiness, and operational planning. - Build applications that connect infrastructure delivery, fleet health, capacity utilization, product demand, and financial planning into a shared operational view. - Build planning and scenario-modeling systems that help leaders understand tradeoffs across capacity, utilization, cost, reliability, launch timing, and business impact. - Create workflow automation and decision-support tooling that improves planning accuracy and reduces operational overhead. - Partner with Capacity Planning, Fleet Operations, Product, Finance, Infrastructure Engineering, Supply Chain, and Strategic Sourcing teams to understand operational workflows and translate them into software systems. - Drive architecture decisions across planning platforms, operational tooling, and internal infrastructure systems. - Improve data quality, observability, and operational visibility across Industrial Compute programs. - Build extensible software foundations that scale alongside OpenAI's rapidly growing infrastructure footprint. Qualifications - 5+ years of experience in software engineering, platform engineering, infrastructure engineering, or related technical disciplines. - Strong programming experience in Python, Go, Java, TypeScript, or similar languages. - Experience building distributed systems, backend services, internal platforms, workflow systems, or operational tooling. - Experience designing APIs, data pipelines, and integrations across multiple systems. - Strong system design and software architecture skills. - Experience working with large operational datasets and business-critical workflows. - Ability to operate effectively in highly cross-functional environments and translate ambiguous operational challenges into scalable technical solutions. - Strong ownership mindset and ability to independently drive complex projects. Preferred Skills - Experience building planning systems, forecasting platforms, optimization engines, or decision-support tools. - Experience with SQL, data warehouses, orchestration frameworks, analytics platforms, and distributed data systems. - Experience supporting infrastructure, cloud platforms, data centers, hardware deployment programs, or large-scale operational environments. - Familiarity with capacity planning, supply chain systems, financial modeling, or infrastructure operations. - Experience replacing spreadsheet-driven workflows with scalable software platforms. - Experience building systems that support scenario planning, forecasting, optimization, or resource allocation. - Familiarity with AI infrastructure, hyperscale compute environments, or large-scale distributed systems. 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.
Software Engineer, Data Infrastructure - Research
About the Team The Workload team is responsible for designing and running OpenAI’s LLM training and inference infrastructure that powers frontier models at massive scale. Our systems unify how researchers train and serve models, abstracting away the complexity of performance, parallelism, and execution across vast GPU/accelerator fleets. By providing this foundation, the Workload team ensures that researchers can focus on advancing model capabilities while we handle the scale, efficiency, and reliability required to bring those models to life. About the Role We are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI’s next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume. In this role, you will: - Design and maintain standardized dataset APIs, including for multimodal (MM) data that cannot fit in memory. - Build proactive testing and scale validation pipelines for dataset loading at GPU scale. - Collaborate with teammates to integrate datasets seamlessly into training and inference pipelines, ensuring smooth adoption and a great user experience. - Document and maintain dataset interfaces so they are discoverable, consistent, and easy for other teams to adopt. - Establish safeguards and validation systems to ensure datasets remain reproducible and unchanged once standardized. - Debug and resolve performance bottlenecks in distributed dataset loading (e.g., straggler systems slowing global training). - Provide visualization and inspection tools to surface errors, bugs, or bottlenecks in datasets. You might thrive in this role if you: - Have strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure. - Have experience building APIs, modular code, and scalable abstractions, while recognizing that abstractions ultimately serve the users and UX is an important part of the abstractions design. - Are comfortable debugging bottlenecks across large fleets of machines. - Take pride in building infrastructure that “just works,” and find joy in being the guardian of reliability and scale. - Are collaborative, humble, and excited to own a foundational (if not glamorous) part of the ML stack. Bonus points if you: - Have background knowledge in data math, probability, or distributed data theory. - Have worked with GPU-scale distributed systems or dataset scaling for real-time data 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.
Software Engineer, ChatGPT Infrastructure
About the Team Our London-based team builds the backend systems that help ChatGPT scale reliably. We work on infrastructure close to the product, partnering with engineering teams to improve the performance, resilience, and operability of critical user-facing systems. Our work combines backend software engineering with distributed systems and production reliability. We build shared capabilities, improve high-traffic workflows, and make it easier to introduce new product functionality without compromising performance or availability. About the Role This role is for software engineers who want to build and evolve backend systems operating at significant scale. You’ll write production code, design shared infrastructure, and solve technical challenges involving performance, distributed systems, and system reliability. You’ll also own how those systems behave in production: how changes are rolled out, how issues are detected and diagnosed, and how recurring operational problems can be addressed through better software and system design. This is a strong fit for backend engineers who enjoy complex systems problems and want a direct connection between the infrastructure they build and the experience of ChatGPT users. In this role, you will: - Design, build, and maintain backend systems supporting high-traffic ChatGPT experiences. - Develop shared services, APIs, and infrastructure that help product teams build and launch new capabilities safely. - Improve the performance, scalability, and efficiency of production systems as usage and product complexity grow. - Build and improve systems for asynchronous processing and other large-scale backend workloads. - Lead architectural improvements and infrastructure migrations while maintaining correctness, compatibility, and safe rollout and rollback. - Strengthen monitoring, alerting, and diagnostics to detect problems early and reduce customer impact. - Participate in on-call, incident response, and root-cause analysis, and turn operational learnings into lasting engineering improvements. - Work across product and infrastructure teams to ensure new systems are reliable, secure, and production-ready. - Build automation and tooling that reduce repetitive operational work and improve engineering effectiveness. You might thrive in this role if you: - Have experience building and operating backend systems at scale. - Understand distributed systems concepts such as concurrency, consistency, asynchronous processing, and failure handling. - Enjoy writing production code while taking ownership of how systems behave in real-world conditions. - Can identify and address bottlenecks affecting latency, throughput, resource usage, or reliability. - Have experience introducing production changes safely through testing, staged rollouts, monitoring, and rollback plans. - Are comfortable investigating ambiguous technical problems and collaborating across teams to resolve them. - Care about clear interfaces, maintainable systems, and practical engineering tradeoffs. - Take ownership of projects from design and implementation through deployment and ongoing improvement. Qualifications - 4+ years of professional software engineering experience, including significant experience building backend or distributed systems. - Strong proficiency in at least one general-purpose programming language and experience writing reliable, maintainable production code. - Experience designing, building, or improving services, platforms, or shared infrastructure at scale. - Familiarity with production reliability practices, including monitoring, incident response, root-cause analysis, and operational readiness. - Experience diagnosing performance, scalability, or reliability issues in production environments. - Understanding of distributed systems, data storage, concurrency, asynchronous processing, or networking. - Familiarity with modern deployment, observability, and cloud infrastructure practices. - Ability to lead complex technical work and collaborate effectively across product and infrastructure teams. Experience with cloud infrastructure, containerized environments, or observability tools is useful but not required. We welcome candidates from backend engineering, distributed systems, platform engineering, and reliability backgrounds. 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.
Subject Matter Expert, Investment Banking
About the Team OpenAI is building AI systems that can help professionals perform complex, high-value work with greater speed, rigor, and creativity. Investment banking is one of the most demanding environments for knowledge work: bankers must synthesize fragmented information, exercise judgment under pressure, and produce precise, defensible models, analyses, and client materials. Our team works across Research, Product, Engineering, and Go-to-Market to make OpenAI's models genuinely useful for these workflows. We translate real professional work into product requirements, evaluations, training signals, and repeatable customer solutions. We care not only whether a model can generate an answer, but whether it can deliver accurate, defensible work that experienced bankers can trust and use. 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 the Role We are looking for a Subject Matter Expert in Investment Banking to help define what excellent AI-assisted banking work looks like and turn that standard into better models and products. You will bring deep, current knowledge of how investment banking work is actually performed, including company and industry research, financial analysis and modeling, valuation, diligence, transaction execution, and the creation and review of client materials. You will use that expertise to design realistic tasks and evaluations, create and assess high-quality reference work, diagnose model failures, and help our technical teams improve model behavior and product experiences. This is a hands-on individual-contributor role for someone who enjoys both doing the work and explaining what makes it good. You should be comfortable moving between an Excel model, a presentation, a source document, an evaluation rubric, a product prototype, and a conversation with researchers or customers. You will help us distinguish outputs that merely look plausible from work that is accurate, traceable, internally consistent, and ready for serious professional use. In This Role, You Will - Define the quality bar for AI-assisted investment banking work across research, financial analysis, valuation, modeling, diligence, transaction execution, and client materials. - Translate real banking workflows into challenging, representative evaluation tasks with realistic inputs, constraints, deliverables, and success criteria. - Create and refine banker-grade reference artifacts, including financial models, valuation analyses, diligence materials, screening outputs, pitch books, committee materials, and transaction documents. - Develop rigorous rubrics and grading methods that assess financial correctness, analytical judgment, source quality, traceability, internal consistency, presentation quality, and practical usefulness. - Evaluate model outputs and end-to-end agent workflows, identify recurring failure modes, and translate findings into actionable feedback for Research, Engineering, and Product. - Partner with researchers and engineers on evals, graders, datasets, human-review processes, tools, and product integrations that improve model performance on financial work. - Work closely with product teams to identify the highest-value opportunities for AI in investment banking, prototype new workflows using OpenAI tools, and assess whether early experiences meet the needs of real users. - Engage with customers, design partners, and domain reviewers to understand real-world standards and constraints, support testing and adoption, codify domain knowledge, and ensure responsible financial-services deployment. You Might Thrive in This Role If You - Have 2+ years of investment banking experience, including live transaction execution and the production of high-quality analyses, financial models, and client materials. Demonstrated ability and judgment matter more than title or tenure. - Have strong command of core banking workflows across M&A, capital raising, strategic advisory, or a closely related product or coverage area. - Can build and review financial analyses in Excel and produce polished PowerPoint materials, with a sharp eye for errors, weak assumptions, unsupported claims, inconsistent numbers, and poor presentation. - Understand how work and judgment evolve from junior analyst through director, and can identify where AI should automate execution, support decision-making, or remain subject to human review. - Exercise excellent analytical judgment and can assess whether an approach is appropriate, evidence is sufficient, and an output would withstand senior review. - Can translate expert intuition into clear standards, actionable feedback, rubrics, and guidance that others and evaluation systems can apply consistently. - Thrive in ambiguous, zero-to-one environments and are willing to create the first version of a task, model, deck, rubric, workflow prototype, or playbook. - Are curious about AI, comfortable collaborating with technical and non-technical stakeholders, and able to apply sound judgment around confidentiality, data entitlements, governance, regulation, and reputational risk. Especially Strong Candidates May Also Have - Experience across multiple banking products, industry coverage groups, geographies, or transaction types, or in adjacent fields such as private equity, corporate development, equity research, private credit, leveraged finance, or restructuring. - A track record of improving financial workflows through automation, templates, knowledge systems, data tools, process redesign, or new technology. - Familiarity with evaluation design, quality assurance, benchmarking, data annotation, prompt design, or testing AI-enabled financial tools. 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.
Technical Threat Investigator, Threat Intel Engine...
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations. About the Role As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations. This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company. You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time. In this role, you will: - Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem. - Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity. - Leverage internal telemetry, OSINT, vendor data, and in-house safety systems to produce high-confidence findings on adversarial use of our models in cyber operations, platform abuse, and threats targeting OpenAI. - Translate investigative findings into concrete improvements across detection, enforcement, intel, and safety pipelines. - Build tooling, scripts, automations, and agentic workflows that scale investigative throughput and reduce manual effort. - Prototype solutions in ambiguous and emerging problem spaces, including new product surfaces, novel attacker behaviors, and areas where existing coverage may be limited. - Partner closely with teams across Security, Safety Systems, Product Policy, and Integrity to operationalize findings and drive meaningful outcomes. - Produce clear, high-signal written outputs and recommendations that inform decision-making across technical and executive stakeholders. You might thrive in this role if you have: - Experience in threat intelligence, incident response, offensive security, or a closely related field. - Solid experience investigating sophisticated threat actors, including model misuse, platform abuse, or other adversarial activity in complex environments. - A strong understanding of adversary behavior, infrastructure, and tradecraft, and the ability to apply that understanding to proactive investigations. - Demonstrated ability to independently drive deep technical investigations from ambiguous signals through to clear, actionable findings. - Experience using AI to extend or accelerate investigative workflows. - Strong scripting ability and comfort building lightweight automation, investigative tooling, or workflows that improve scale and repeatability. - Strong ability to leverage telemetry from diverse systems and vendors to drive investigations, including directly querying, extracting, and stitching together data where needed. - Strong written and verbal communication skills, especially the ability to translate technical investigations into high-signal outputs for diverse stakeholders. - Comfort operating independently in ambiguous, fast-moving problem spaces with minimal oversight. This is a remote role with close collaboration required across teams in the US and UK. While the role is remote, regular in-person engagement with our San Francisco (SF) headquarters will be expected. Relocation assistance is available for candidates who wish to relocate to SF. 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.
Strategic Account Executive - Chile
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. We're looking for an experienced, driven Senior Strategic Account Executive to drive ElevenLabs' growth across Chile's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Chilean organizations - 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 Chile - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - 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. 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 and maintain a deep understanding of the conversatio
Account Executive - North America - Corporate
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, motivated Corporate Account Executive to drive ElevenLabs' growth in small to medium sized businesses across the United States. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency. 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends. 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more. 5. Develop and execute account strategies to expand ElevenLabs’ presence within key verticals. 6. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 7. Serve as
Strategic Account Executive - Netherlands
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. We're looking for an experienced, driven Senior Enterprise Account Executive to drive ElevenLabs' growth across the Netherland's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Dutch organizations - 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 enterprise accounts across the Netherlands - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - 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. 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 and maintain a deep understanding
Account Executive - Italy - Enterprise
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. We're looking for an experienced, driven Enterprise Account Executive to drive ElevenLabs' growth across Italy's enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Italian organizations - 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: - Build and manage a growing portfolio of enterprise accounts across Italy - Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. - 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. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Italian industries - Demo
Research Engineer, Pretraining Scaling - London
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: - Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability - Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure - Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance - Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams - Build and maintain production logging, monitoring dashboards, and evaluation infrastructure - Add new capabilities to the training codebase, such as long context support or novel architectures - Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams - Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: - Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems - Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other - Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure - Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs - Excel at debugging complex, ambiguous problems across multiple layers of the stack - Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents - Are passionate about the work itself and want to refine your craft as a research engineer - Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: - Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale - Contributed to open-source LLM frame
Research Engineer, Universes
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 Team The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today — environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios. About the Role We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability. Responsibilities: - Build the next generation of agentic environments - Build rigorous evaluations that measure real capability - Collaborate across research and infrastructure teams to ship environments into production training - Debug and iterate rapidly across research and production ML stacks - Contribute to research culture through technical discussions and collaborative problem-solving You may be a good fit if you: - Are highly impact-driven — you care about outcomes, not activity - Operate with high agency - Have good research taste or senior technical experience, demonstrating good judgment in identifying what actually matters in complex problem spaces - Can balance research exploration with engineering implementation - Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems - Are comfortable with uncertainty and adapt quickly as the landscape shifts - Have strong software engineering skills and can build robust infrastructure - Enjoy pair programming (we love to pair!) Strong candidates may also have one or more of the following: - Have industry experience with large language model training, fine-tuning or evaluation - Have industry experience building RL environments, simulation systems, or large-scale ML infrastructure - Senior experience in a relevant technical field even if transitioning domains - Deep expertise in sandboxing, containerization, VM infrastructure, or distributed systems - &
Research Engineer, AI Safety & Alignment
ABOUT THE ROLE AND TEAM Joining us as a Research Engineer, you'll be at the forefront of tackling one of the most critical challenges in AI today: safety and alignment. Your work will be pivotal in understanding and mitigating the risks of advanced AI, conducting foundational research to make our models safer, and solving the core technical problems of AI alignment—ensuring our models behave in accordance with human values and intentions. The Safety team is dedicated to pioneering and implementing techniques that make our models more robust, honest, and harmless. As a Research Engineer, you will bridge the gap between theoretical research and practical application, writing high-quality code to test hypotheses and integrating successful safety solutions directly into our products. Your research will not only protect millions of users but also contribute to the broader scientific community's understanding of how to build safe, beneficial AI. WHAT YOU'LL DO - Develop and implement novel evaluation methodologies and metrics to assess the safety and alignment of large language models. - Research and develop cutting-edge techniques for model alignment, value learning, and interpretability. - Conduct adversarial testing to proactively uncover potential vulnerabilities and failure modes in our models. - Analyze and mitigate biases, toxicity, and other harmful behaviors in large language models through techniques like reinforcement learning from human feedback (RLHF) and fine-tuning. - Collaborate with engineering and product teams to translate safety research into practical, scalable solutions and best practices. - Stay abreast of the latest advancements in AI safety research and contribute to the academic community through publications and presentations. WHO YOU ARE - Hold a PhD (or equivalent experience) in a relevant field such as Computer Science, Machine Learning, or a related discipline. - Write clear and clean production-facing and training code - Experience working with GPUs (training, serving, debugging) - Experience with data pipelines and data infrastructure - Strong understanding of modern machine learning techniques, particularly transformers and reinforcement learning, with a focus on their safety implications. - Are passionate about the responsible development of AI and dedicated to solving complex safety challenges. NICE TO HAVE - Experience with product experimentation and A/B testing - Experience training large models in a distributed setting - Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud) - Experience with explainable AI (XAI) and interpretability techniques. - Have research in AI safety, alignment, ethics, or a related area. - Knowledge of the broader societal and ethical implications of AI, including policy and governance. - Publications in relevant academic journals or conferences in the field of machine learning ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.
Field Marketing Manager, Public Sector
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 hiring a Field Marketing Manager dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Key responsibilities - Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. - Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders - Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows - Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution - Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline - Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline - Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments - Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs - Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies You may be a good fit if you: - Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector - End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place - Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) - 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you opera
Applied AI Engineer, Codex Core Agent
About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for applied AI engineers to help bring Codex agents from impressive demos to dependable tools. This role is about improving agent performance on real software engineering tasks and closing the gap between research capability and real-world usefulness. You’ll work closely with research, infrastructure, and product to ensure agents are not just powerful, but useful, steerable, and reliable in practice. The job is not only to improve model behavior in isolation, but to turn those improvements into measurable gains in solve rate, usefulness, and economic value for users. What You’ll Do - Design and iterate on agent behaviors across real-world coding tasks and long-horizon workflows. - Work closely with research to develop and run evals to measure agent performance, regressions, failure modes, and edge cases. - Improve performance through prompting, tool-use strategies, context construction, and model-facing experimentation. - Analyze failures in production and systematically improve robustness and reliability. - Build feedback loops and data systems that get better real-task data into evaluation and research. - Work with product teams to shape user-facing agent experiences and the interfaces the agent depends on. - Help define what “good” looks like for agents completing complex tasks end-to-end. You Might Be a Good Fit If You - Have experience building or shipping machine learning or LLM-powered products. - Are strong in Python and comfortable with modern ML tooling. - Have worked on model evaluation, fine-tuning, or prompt design. - Think in terms of systems and user outcomes, not just model metrics. - Enjoy debugging messy, real-world failures and turning them into improvements. - Want to work in the layer that turns research and model potential into systems that actually work for users. Bonus Points - Experience with agent frameworks or tool-using LLM systems. - Research experiencewith code generation models or developer tooling. - Experience working with large, messy datasets or production logs. 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.
Research Engineer, RL Scaling Science
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 RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training. This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short. Key responsibilities - Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show - Investigate how RL improves as horizon, compute, and model size grow - Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible - Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship - Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale - Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack Minimum qualifications - Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area - Demonstrated ability to own large experiments end-to-end, from design through interpretation - Proficiency in Python and experience working with large-scale or distributed ML systems - Comfort operating at the research/systems boundary, including debugging where the two meet - Care about the societal impacts of AI and responsible scaling Preferred qualifications - Published or shipped work in long-horizon RL or RL fundamentals - Experience translating research findings into production training recipes - Demonstrated large scale industry impact via RL interventions - Experience working on frontier-scale training runs with long trajectories Representative projects - Design a benchmark suite for long-horizon RL that distinguishes genuine capability gains from artifacts of evaluation setup - Take a promising experimental finding, stress-test it across model scales, and work with training teams to land it in a production recipe - Investigate an unexpected scaling trend in an RL run and trace it to a root cause spanning algorithm, data, and infrastructure The annual compensation range for this role is listed below. </p
Research Engineer, Model Evaluations
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 We're looking for Research Engineers to build the evaluations that tell us — and the world — what Claude can actually do. Your work will turn ambiguous notions of "intelligence" into clear, defensible metrics that researchers, leadership, and the public can rely on. You'll design and implement evaluations across the full spectrum of Claude's capabilities and personality, and build the infrastructure that runs them reliably at scale. You'll partner closely with researchers throughout the lifecycle of a new capability — from defining what to measure, to running the eval against live training checkpoints, to interpreting the results. The goal is to make Anthropic the leader in extremely well-characterized AI systems, with performance that is exhaustively measured and validated across the tasks that matter. Key responsibilities - Design and run new evaluations of Claude's capabilities — reasoning, agentic behavior, knowledge, safety properties — and produce visualizations that make the results legible to researchers and decision-makers - Build and harden the distributed eval execution platform so hundreds of evals run reliably against checkpoints throughout production RL training runs - Own the dashboards researchers and leadership use to monitor model health during training, improving signal-to-noise, reducing latency, and making regressions impossible to miss - Debug anomalous eval results mid-training-run, determine whether the cause is a model change or an infrastructure issue, and communicate the answer clearly under time pressure - Improve the tooling, libraries, and workflows researchers use to implement and iterate on evaluations - Partner with research teams across the full lifecycle of a new capability — from defining what to measure to interpreting results as training progresses - Run experiments to characterize how prompting, sampling, and scaffolding choices affect results on internal and industry benchmarks - Communicate evaluations and their results to internal stakeholders and, where approp
Regional Research Economist, Economic Research
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 Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities - Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region - Advance research collaborations that answer country- or regional-specific economic impact questions - Translate research insights into actionable recommendations for policy discussions - Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis - Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region - Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: - Labor markets and the future of work - Productivity and task transformation - Economic inequality and displacement - Industry-specific disruption and adaptation - Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios - Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection - Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications - PhD in Economics - Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning <li>
Research Engineer, Multimodal
ABOUT THE ROLE AND TEAM Joining us as a Research Engineer on the Multimodal team, you'll be at the forefront of building and advancing video and image generation models that bring AI characters to life in entirely new ways. Your work will directly shape how millions of users experience rich, expressive, and visually compelling AI interactions every day. The Multimodal team is responsible for training, fine-tuning, and deploying cutting-edge image, audio and video generation models that power Character.AI http://Character.AI's visual experiences. We work across the full model lifecycle — from data pipelines and training to deployment and product integration. As a Multimodal Research Engineer, you will own and advance our video model training efforts, including joint audio-visual generation and image-to-video. You will collaborate across research, product, and infrastructure to push the boundaries of what AI-generated visuals can look and feel like at scale. WHAT YOU'LL DO - Lead fine-tuning and continued training of video generation models, including image-to-video and joint audio-visual generation. - Design and experiment with novel model architectures for multimodal generation, including multimodal conditioning (voice, structured text, reference images). - Leverage techniques such as LoRA, RLHF, and full-parameter fine-tuning to improve model quality across diverse visual scenarios. - Design and build large-scale data pipelines and automated annotation workflows to support continuous model improvement. - Explore model compression, inference acceleration, and serving optimizations to enable efficient real-time video processing at scale. WHO YOU ARE - Strong passion for pushing the boundaries of visual AI, with a self-driven, hands-on approach to solving complex technical problems - Proficient in PyTorch with end-to-end experience across data processing, model training, and deployment - Solid understanding of video and image generation architectures, including diffusion models, DiT, ControlNet, and SOTA video generation models - Experience with multimodal model training, including working with audio, vision, and language modalities together - Experience with distributed training tools (FSDP, DeepSpeed, etc.) - Experience with large-scale data processing, dataset construction, and automated data cleaning NICE TO HAVE - Experience with joint audio-visual or speech-conditioned generation models - Experience with AIGC, video effects, character animation, or asset generation products - Familiarity with ML deployment and orchestration (Kubernetes, Slurm, Docker, cloud platforms) - Publications in relevant venues (NeurIPS, ICLR, CVPR, ECCV, ICCV, or similar) ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.
Agent Post-Training, Context Research
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 We believe that the final enabler for AGI is spending compute on context. As a Context Researcher on Agent Post-Training, you will scale compute spent on context. You will get to work in our frontier training stack on enabling the next paradigm of model training with a clear product interface for iterative deployment (Codex Chronicle). You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. In this role, you might - Design and run experiments that improve scaling of compute on context. - Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis. - Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions. - Partner with Codex and ChatGPT product teams to understand what users need and translate product signal into model improvements. - Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior. - Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs. - 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. - Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes. You might thrive in this role if you - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution. - Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with. - Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next. - 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.
Research Engineer, AI
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. Our research spans: Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. Scaled... Observed freshness date: 2026-07-31T00:45:39-04:00 Freshness signal: first_party_updated_at Remote signal: hybrid Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/biohub/jobs/7793665 Source URL: https://job-boards.greenhouse.io/biohub
Research Engineer, AI
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. Our research spans: Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. Scaled... Observed freshness date: 2026-07-31T00:45:39-04:00 Freshness signal: first_party_updated_at Remote signal: hybrid Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/biohub/jobs/7747517 Source URL: https://job-boards.greenhouse.io/biohub
Lead Engineer, AI Attack Simulation
Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a hands-on Lead Engineer, AI Attack Simulation to own the technical direction and execution of our attack simulation product. You will lead the architecture and development of systems that translate adversarial AI research and real-world attack techniques into safe, repeatable, and measurable security testing capabilities. You will partner closely with Product Management and Security Research to shape product strategy, understand customer problems, evaluate opportunities, and define the outcomes the team is working toward. This role is designed for a product-minded engineering leader who goes beyond receiving requirements and solving tickets, helping determine what we should build, why it matters, and how we will measure its success. You will also establish an AI-first product development workflow, applying AI across discovery, research, solution design, prototyping, implementation, validation, and continuous improvement. The ideal candidate combines deep software engineering experience, cybersecurity expertise, agentic-systems judgment, and the leadership ability to mentor engineers a... Observed freshness date: 2026-08-06T13:48:48-04:00 Freshness signal: first_party_updated_at Remote signal: remote Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/hiddenlayer/jobs/5204745007 Source URL: https://job-boards.greenhouse.io/hiddenlayer
Senior AI Controls Solutions Engineer (Australia)
About Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applyi... Observed freshness date: 2026-08-05T17:11:13-04:00 Freshness signal: first_party_updated_at Remote signal: remote Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/phaidra/jobs/4719607005 Source URL: https://job-boards.greenhouse.io/phaidra
Senior Software Engineer, Agent Platform (AI for t...
Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter. Our base salary range is $146,880 - $220,320, and in addition we have generous bonus plans to provide a competitive compensation package. Who We Are: We are a small engineering team at the Allen Institute for AI working on AI for the Planet. We're working on maritime conservation, food security, disaster resilience, and climate solutions with some of the most impactful organizations on the planet. We work very closely alongside a ML research team and our Product & Partnerships teams, focused on building products that support our environmental and high-impact users. Today, our team works on a few products: EarthRanger is a software solution from AI2 that helps conservationists make informed operational decisions. By integrating real-time data from hardware sensors, field personnel, satellite imagery, and other sources, we help prevent the poaching of endangered species, fight deforestation, promote human-wildlife coexistence, and advocate for... Observed freshness date: 2026-08-07T16:41:21-04:00 Freshness signal: first_party_updated_at Remote signal: onsite Salary: $146,880 - $220,320, Canonical apply URL: https://job-boards.greenhouse.io/thealleninstitute/jobs/8110068 Source URL: https://job-boards.greenhouse.io/thealleninstitute
Senior AI Research Scientist (Model-based RL)
About Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applyi... Observed freshness date: 2026-08-07T15:47:39-04:00 Freshness signal: first_party_updated_at Remote signal: remote Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/phaidra/jobs/4719324005 Source URL: https://job-boards.greenhouse.io/phaidra
Staff Machine Learning Engineer, Shopping Ads
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is a community of communities, built on shared interests, passion, and trust. Our Shopping Ads team builds relevant, performant, and scalable commerce advertising experiences that help advertisers connect products with people who are likely to find them useful. As a Staff Machine Learning Engineer on Shopping Ads, you will lead the technical strategy and execution for the models that power Shopping Ads delivery. You will work across targeting, retrieval, ranking, engagement and conversion prediction, feature engineering, and online serving to improve advertiser outcomes across Dynamic Product Ads and Product Listing Ads. This is a hands-on technical leadership role for an engineer who can translate business goals into an end-to-...
Deployment Strategist - Netherlands
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 As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineer
Research Engineer, Privacy
About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: - Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. - Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees. - Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams. - Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions. - Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring. - Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling. You might thrive in this role if you: - Have hands-on research or production experience with PETs. - Are fluent in modern deep-learning stacks (PyTorch/JAX) and comfortable turning cutting-edge papers into reliable, well-tested code. - Enjoy stress-testing models—probing them for private data leakage—and can explain complex attack vectors to non-experts with clarity. - Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real-world systems. - Thrive in fast-moving, cross-disciplinary environments where you alternate between open-ended research and shipping production features under tight deadlines. - Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability. 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.
Researcher, Alignment CoT Monitorability
About the Team The CoT Monitorability team at OpenAI studies whether and when the chain-of-thought of frontier reasoning models is monitorable enough to support scalable oversight. We study how to measure monitorability , which training mechanisms affect monitorability, and speculative methods to improve monitorability. While we mostly focus on CoT monitorability at the moment, we care more generally about any form of monitorability, auditing methods, and improving alignment. We were the first to show that chain-of-thought monitoring can be a practical additional safety mechanism, and today our monitoring systems are actively used on OpenAI’s largest RL training runs to detect misbehavior. The issues we surface are then used to help improve our reward functions, environments, etc (without directly training against a CoT monitor). Our work sits in Alignment and intersects with model training, alignment evaluations, monitoring, and frontier-risk research.We care most about monitorability where the stakes are high, and about preserving useful oversight signals as models become more capable. About the Role We’re looking for a researcher with strong empirical ML expertise and a deep interest in model behavior, alignment, or interpretability. Direct chain-of-thought interpretability experience is welcome but not required; strong candidates may come from broader interpretability, alignment, model training, or investigative model-behavior work. As a researcher on the Alignment team, you will design and run experiments that improve our understanding of model monitorability. You will investigate how training interventions across the model-development pipeline influence whether reasoning remains legible, build evaluations that make those questions measurable, and help translate findings into practical oversight and training recommendations. You may also help develop new monitoring models or methods and apply them to OpenAI’s largest training runs. This role is especially well suited for someone who can move from an ambiguous model-behavior question to a concrete experimental setup: formulate the hypothesis, build the evaluation or intervention, run the experiment, analyze the result, and decide what the evidence supports. 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 and run empirical studies of chain-of-thought monitorability across frontier reasoning models and training settings. - Build evaluations that measure whether monitors can reliably predict properties of interest, including high-stakes forms of misbehavior. - Investigate how pre-training, synthetic data, mid-training, post-training, reinforcement learning, and other interventions improve or degrade monitorability. - Analyze model behavior and turn observations from monitoring into hypotheses, experiments, and recommendations. - Translate research findings into practical monitoring and oversight approaches that can inform real training runs. - Collaborate with researchers and engineers across model training, alignment evaluations, monitoring, and frontier-risk work. - Produce externally publishable research when results advance the broader science of alignment. You might thrive in this role if you: - Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs. - Have deep curiosity, interest in alignment, and high agency. - Bring depth in alignment, interpretability, model behavior, empirical ML, or adjacent research. - Are excited to investigate chain-of-thought monitorability, monitoring methods, and scalable oversight. - Can turn ambiguous research questions into measurable experiments and follow the evidence when results are subtle or noisy. - Move comfortably between research ideation and engineering execution. - Are curious about multiple approaches to understanding model behavior and are not committed to only one methodological lens. - Operate with high independence while collaborating closely across research and engineering teams. - Care about making increasingly capable AI systems more monitorable, trustworthy, and safe. 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.
Software Engineer, Security Observability
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 We are seeking a Software Engineer, Security Observability to join our Security team. In this role, you will be responsible for building secure, scalable systems that enhance our security observability infrastructure. Leveraging your strong engineering skills, you will collaborate with cross-functional teams to develop, deploy, and maintain robust software solutions that support our security and detection capabilities. This role is open to remote employees, or relocation assistance is available to one of our OpenAI offices in San Francisco, Seattle, or New York City. In this role, you will: - Design and develop scalable software systems that facilitate security observability across our infrastructure. - Build and maintain data pipelines that centralize and store security-relevant data from diverse sources. - Proactively improve the resilience and reliability of data systems to ensure high platform availability - Collaborate closely with Detection & Response (D&R) and other security teams to reduce the company’s security risk. - Contribute to data engineering in support of forensic investigations and compliance efforts. You might thrive in this role if you have: - Strong software engineering experience, with proficiency in programming languages such as Python, Golang, or similar. - A background in infrastructure as code, with experience using tools like Terraform and working with cloud platforms such as Azure. - Experience with building and maintaining data pipelines, particularly for security-related use cases. - A generalist engineering mindset, with the flexibility to pivot between various technical domains such as databases, site reliability engineering (SRE), or security. - The ability to collaborate effectively with security and engineering teams to understand evolving data needs and implement scalable solutions. - A proactive and detail-oriented approach to problem-solving, with a focus on improving security data visibility and forensic capabilities. 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.
Strategic Account Executive - Italy
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. We're looking for an experienced, driven Strategic Account Executive to drive ElevenLabs' growth across Italy's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Italian organizations - 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 Italy - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - 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. 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 and maintain a deep understanding of the conversational AI
ML Systems Engineer, Robotics
Scale's Physical AI business unit is dedicated to solving the data bottleneck across Robotics, Autonomous Vehicles, and Computer Vision. This position will be a key contributor in conducting applied research in Physical AI and developing ML pipelines for processing, training, and fine-tuning on data collected by Scale, with a specific focus on optimizing algorithms and pipelines to run efficiently on GPUs in the cloud. In this role, you will have the opportunity to advance research, shape Scale’s offerings, and expand the frontier of data and model evaluation for Physical AI. The Role As an ML Systems Engineer on the Physical AI team, you will design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents. Our platform powers cutting-edge research and production systems, supporting both internal research discovery and external customer use cases for autonomous vehicles and robotics. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging the gap between Physical AI research and production engineering to accelerate innovation across the company. You Will: - Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications. - Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics. - Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments. - Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security. - Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference. - Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment. Ideally, You’d Have: - Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure. - Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning). - Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++). - Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications. - Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP). - IaC: Familiarity with infrastructure as code (e.g., Terraform). - Mindset: Proven ability to solve complex problems and work independently in fast-moving environments. Nice to Haves: - Exposure to Vision-Language-Action (VLA) models. - Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds). - Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.
Software Engineer, Privacy Engineering
About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: - Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. - Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. - Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. - Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. - Own governance systems in production through measurable controls, observability, migrations, exception handling, incident response, and continuous improvement. You might thrive in this role if you: - Have substantial experience designing and operating large-scale data platforms, privacy infrastructure, or governance systems in complex production environments. - Have led architecture and multi-team execution for one or more data-governance domains, such as metadata and lineage, retention and deletion, access governance, or data-use controls. - Can translate ambiguous policy, legal, security, and product requirements into clear system boundaries, technical standards, phased roadmaps, and measurable outcomes. - Influence senior stakeholders and engineering teams without relying on formal authority, communicate tradeoffs clearly, and build durable cross-functional alignment. - Take end-to-end ownership of high-trust systems, including correctness, scalability, auditability, operational resilience, and the developer and operator experience. 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.
Compound Management Inventory Specialist (Contract...
Your work will change lives. Including your own. The Impact You’ll Make Recursion Pharmaceuticals is pioneering a new approach to drug discovery through the integration of automated cell biology, high-dimensional and diverse data sets, and sophisticated analytics. We are seeking an extremely detail-oriented Contract Research Associate for our Compound Management group to help accelerate our discovery programs and clinical portfolio. In this role, you will supply drug candidates and disease perturbants, handling the ordering, weighing, and solubilization of reagents while running automated systems to generate the assay plates that power our platform. As a contractor, you will be the main owner of the inventory at our SLC site, managing the organization and tracking of compounds across multiple physical storage locations. You will be responsible for meticulously cherry-picking tubes to support complex plate builds for various experiment requests. In This Role, You Will: - Be in Charge of Inventory Ownership: Act as the sole point of contact and owner for the compound inventory at the SLC site, managing and tracking samples across multiple storage locations. - Do Plate Build Support: Meticulously cherry-pick tubes and prepare compound plates to precisely fulfill experiment and high-throughput screening requests The Team You’ll Join You will join a high-performing, mission-focused group in our high-throughput screening platform. This is a dynamic team that is tenacious in problem-solving and rigorous in challenging the status quo, while maintaining an incredibly supportive and collaborative environment. The Experience You’ll Need - Education: A Bachelor’s degree or similar in a biological field. - Technical Skills: Proficiency in molecular biology concepts and experience with automated, computer-controlled laboratory instrumentation. - Computational Comfort: Familiarity with computational tools to leverage efficiency. - Mindset: The ability to think on your feet, knowing when to ask for help and when to figure things out independently. - Culture Fit: A passion for working in a fast-paced environment where you can leverage creativity and independent thinking. This is a 6-month contractor role with working hours from 9:00am to 5:00pm, Monday through Friday The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We
SME, Support Systems Specialist
Scale is looking for a Support Systems & Routing Specialist to own and optimize the core infrastructure powering our contributor support operations. In this role, you will be responsible for configuring and maintaining systems like Zendesk, designing routing logic, and building scalable frameworks that ensure tickets are assigned accurately and efficiently. As our operations continue to grow, this role will play a critical part in ensuring our support systems scale seamlessly with increasing volume and complexity. You will partner closely with Support Ops, Product, Engineering, and cross-functional stakeholders to translate operational needs into robust system configurations. You will be part of a highly detail-oriented and systems-driven team, where your work directly impacts operational efficiency and contributor experience. This role is ideal for someone who thrives in building and improving systems that others rely on daily, and who enjoys solving complex operational challenges at scale. You will: - Own end-to-end Zendesk configuration, including ticket forms, fields, macros, triggers, automations, SLAs, and views - Design and maintain routing logic to ensure accurate ticket distribution across skills, queues, and teams - Build and manage the support agent skills framework (skills, tiers, certifications, queue structures) - Monitor and optimize queue health, load balancing, and ticket assignment accuracy - Configure and maintain integrations across support tools and reporting systems - Troubleshoot system issues and partner with Engineering or vendors when needed - Collaborate with Support Ops, T&S, TPMs, and Product to implement and improve workflows - Document system configurations, workflows, and best practices clearly - Provide training and guidance to stakeholders on system usage and routing logic Ideally you’d have: - Experience administering Zendesk or similar support CRM systems - Experience designing routing logic or managing skills-based systems in high-volume environments - Strong systems-thinking and analytical mindset - High attention to detail with the ability to identify risks and inconsistencies - Experience working cross-functionally with both technical and non-technical stakeholders <li data-section-id="bbj2b4" data-start=
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