Find AI Work That Works for You

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About the Role: We are seeking a Backend / Systems Engineer to help build a flexible, robust, and high-performance backend architecture that serves diverse use cases across customers and product lines. Your work will be critical in enabling our AI engineers, analysts, and data scientists to rapidly prototype, iterate, and deploy workflows, services and data pipelines that leverage large language models (LLMs).This is a high-impact role to develop and launch systems to accelerate product development and real-world impact of AI Systems, in particular LLMs.What You'll Do:Build extensible backend systems that support flexible configurations for different customers and content types. Support infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows. Advance tooling that enables fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments. Follow best practices for ease of deployment, integration, and testing—both for internal teams and external partners. Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems. What We’re Looking For:Experience and track record in backend systems or infrastructure engineering.Evidence of impact of your contributions to team and company Software engineering skills in Python, Go, Java, or equivalent. Experience working with scalable APIs, backend systems and data pipelines. Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows). Experience with cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines). Passion to learn, stretch and innovate Nice to Have:Completed independent project work building or improving AI Agents . Familiarity with Django, Snowflake, React, Step functions. Why Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth.Apply AI technology to real-world business use cases at a significant scale, with blue chip customersWork as part of a team where you can know everyone, but don’t have to do everyone’s job.Competitive compensation, comprehensive benefits, and hybrid in-office policy.

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About the Role: We are seeking a Backend / Systems Engineer to help build a flexible, robust, and high-performance backend architecture that serves diverse use cases across customers and product lines. Your work will be critical in enabling our AI engineers, analysts, and data scientists to rapidly prototype, iterate, and deploy workflows, services and data pipelines that leverage large language models (LLMs).This is a high-impact role that blends backend engineering with thoughtful system design to accelerate product development and real-world impact of AI Systems, in particular LLMs.What You'll Do:Design and build extensible backend systems that support flexible configurations for different customers and content types. Develop infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows. Build tooling and platforms that enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments. Prioritize ease of deployment, integration, and testing—both for internal teams and external partners. Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems. What We’re Looking For:3+ years of experience in backend systems or infrastructure engineering. Strong software engineering skills in Python, Go, Java, or equivalent. Experience designing scalable APIs, backend systems and data pipelines. Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows). Strong understanding of cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines). Passion for building systems that unlock velocity and experimentation for cross-functional teams. Nice to Have:Background in trust & safety, or content moderation. Familiarity with Django, Snowflake, React, Step functions. Experience with LLM-Ops and DevOps.Why Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth.Apply AI technology to real-world business use cases at a significant scale, with blue chip customersWork as part of a team where you can know everyone, but don’t have to do everyone’s job.Competitive compensation, comprehensive benefits, and hybrid in-office policy.

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About the TeamOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.About the RoleWe’re seeking a Research-Hardware Codesign Engineer to operate at the boundary between model research and silicon/system architecture. You’ll help shape the numerics, architecture, and technology bets of future OpenAI silicon in collaboration with both Research and Hardware.Your work will include debugging gaps between rooflines and reality, writing quantization kernels, derisking numerics via model evals, quantifying system architecture tradeoffs, and implementing novel numeric RTL. This is a hands-on role for people who go looking for hard problems, get to ground truth, and drive it to production. Strong prioritization and clear, honest communication are essential.Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available.In this role:Build on our roofline simulator to track evolving workloads, and deliver analyses that quantify the impact of system architecture decisions and support technology pathfinding.Debug gaps between performance simulation and real measurements; clearly communicate root cause, bottlenecks, and invalid assumptions.Write emulation kernels for low-precision numerics and lossy compression schemes, and get Research the information they need to trade efficiency with model quality.Prototype numerics modules by pushing RTL through synthesis; hand off novel numerics cleanly, or occasionally own an RTL module end-to-end.Proactively pull in new ML workloads, prototype them with rooflines and/or functional simulation, and drive initial evaluation of new opportunities or risks.Understand the whole picture from ML science to hardware optimization, and slice this end-to-end objective into near-term deliverables.Build ad-hoc collaborations across teams with very different goals and areas of expertise, and keep progress unblocked.Communicate design tradeoffs clearly with explicit assumptions and confidence levels; produce a trail of evidence that enables confident execution.You Will Thrive in this Role if:An exceptional track record of high-quality technical output, and a bias for shipping a prototype now and iterating later in the absence of clear requirements.Strong Python, and C++ or Rust, with a cautious attitude toward correctness and an intuition for clean extensibility.Experience writing Triton, CUDA, or similar, and an understanding of the resulting mapping of tensor ops to functional units.Working knowledge of PyTorch or JAX; experience in large ML codebases is a plus.Practical understanding of floating point numerics, the ML tradeoffs of reduced precision, and the current state of the art in model quantization.Deep understanding of transformer models, and strong intuition for transformer rooflines and the tradeoffs of sharded training and inference in large-scale ML systems.Experience writing RTL (especially for floating point logic) and understanding of PPA tradeoffs is a plus.Strong cross-functional communication (e.g. across ML researchers and hardware engineers); ability to slice ambiguous early-incubation ideas into concrete arenas in which progress can be made.About OpenAIOpenAI 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 PolicyAt 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.

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About the TeamOpenAI for Science is building the next great scientific instrument: an AI-powered platform that accelerates scientific discovery. We aim to prove that OpenAI’s frontier models can do real science—and help researchers everywhere do more, faster.About the RoleAs a Research Engineer, you will build AI systems that enable previously impossible capabilities or achieve unprecedented levels of performance. You’ll work at the intersection of engineering and research, designing, implementing, and improving large-scale machine learning systems while contributing to the science behind the algorithms themselves.We’re looking for people with strong engineering fundamentals who enjoy writing high-quality ML code, are comfortable working at massive scale, and are excited about OpenAI’s approach to research. As deep learning systems continue to scale, engineering excellence will play a critical role in driving the next major advances in AI.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, implement, and improve large-scale distributed machine learning systemsWrite robust, high-quality machine learning code and contribute to performance-critical componentsCollaborate closely with researchers to translate ideas into scalable, production-ready systemsYou might thrive in this role if you:Have strong programming skills and enjoy building reliable, high-performance systemsAre comfortable working in large distributed systems and at significant computational scaleAre excited about OpenAI’s research direction and motivated by the real-world impact of AINice to have:Interest in using AI to accelerate scientific discovery, improve experimental design, or enable new forms of scientific insightExperience building high-performance implementations of deep learning algorithmsAbout OpenAIOpenAI 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 PolicyAt 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.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleDrive the entire alignment stack, spanning instruction tuning, RLHF, and RLAIF, to push the model toward high factual accuracy and robust instruction following.Lead research efforts to design next-generation reward models and optimization objectives that significantly improve human preference (HP) performance.Curate high-quality training data and design synthetic data pipelines that solve complex reasoning and behavioral gaps.Optimize large-scale RL pipelines for stability and efficiency, ensuring rapid iteration cycles for model improvements.Collaborate closely with pre-training and evaluation teams to create tight feedback loops that translate alignment research into generalizable model gains.About YouGraduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.Deep technical command of alignment methodologies (PPO, DPO, rejection sampling) and experience scaling them to large models.Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.Experience improving model behavior through data, reward modeling, or RL techniques.Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.Thrive in a fast-paced, high-agency startup environment with bias toward action.Passionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleOwn the red-teaming and adversarial evaluation pipeline for Reflection’s models, continuously probing for failure modes across security, misuse, and alignment gaps.Work hand-in-hand with the Alignment team to translate safety findings into concrete guardrails, ensuring models behave reliably under stress and adhere to deployment policies.Validate that every release meets the lab’s risk thresholds before it ships, serving as a critical gatekeeper for our open weight releases.Develop scalable, automated safety benchmarks that evolve alongside our model capabilities, moving beyond static datasets to dynamic adversarial testing.Research and implement state-of-the-art jailbreaking techniques and defenses to stay ahead of potential vulnerabilities in the wild.About YouGraduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience in AI Safety.Deep technical understanding of LLM safety, including adversarial attacks, red-teaming methodologies, and interpretability.Strong software engineering capabilities with experience building automated evaluation pipelines or large-scale ML systems.Experience with Reinforcement Learning (RLHF/RLAIF) and how it impacts model safety and alignment is a strong plus.Thrive in a fast-paced, high-agency startup environment with bias toward action.Willing to make high-stakes decisions regarding model release and safety thresholds.Passionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleOwn the development of Reflection’s open post-training and inference and deployment ecosystem, creating the standard for how the community customizes and interacts with our modelsBuild the RL and SFT tooling that external developers use to customize, fine-tune, and align models for their specific need, as well as taking the lead on inference and deployment.Extend or integrate with existing best-in-class frameworks (e.g., VeRL, torchtune, Tunix, vLLM, SGLang) to meet developers where they are.Create Reflection-native libraries when required for performance or flexibility, ensuring our open-weight users have a clean, powerful, production-grade toolkit.Drive the adoption of our models by reducing friction in the fine-tuning process, ensuring adaptation is safe, efficient, and scalable.Engage deeply with the open-source community to incorporate feedback and guide the roadmap of our external-facing tools.About YouGraduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience in open source software.Strong portfolio of open source contributions, particularly in the LLM tooling space.Deep understanding of post-training techniques (SFT, RLHF, DPO) and the engineering challenges of applying them to large models.Solid software engineering capabilities with experience designing library APIs that are intuitive and robust.Proficient in Python and deep learning frameworks (PyTorch preferred).Thrive in a fast-paced, high-agency startup environment with bias toward action.Passionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Principal Software Architect Eligible Remote Locations:- Boston, MA- Austin, TX- Washington, DCPosition Summary As a Principal Software Architect, you will define and drive the architectural vision and identify steps towards the target architecture for the HackerOne Platform, the foundation that powers our global community of security researchers and the thousands of organizations that rely on us to secure their digital ecosystems.You will lead cross-team technical strategy, ensuring our systems are scalable, reliable, secure, and designed for the future of AI-driven offensive security. Collaborating with Product Managers, Designers, and Engineering leadership, you will translate business strategy into cohesive, sustainable system architecture. Your work will have deep, long-term impact on HackerOne’s ability to innovate quickly, deliver reliably, and uphold the trust our customers place in us.At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Boston, Washington DC, or Austin. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work.What You Will DoDefine and evolve the architectural vision for HackerOne’s platform and core systems, ensuring scalability, reliability, and performance.Partner with Product, Platform, and Security teams to translate long-term business and product goals into actionable architectural strategies.Collaborate with Principal and Distinguished Engineers to align on technical direction, establish shared standards, and evolve HackerOne’s system design principles.Lead major cross-team initiatives that modernize our architecture, improve observability, and reduce complexity across our systems.Mentor and guide engineering teams, fostering a culture of technical excellence, knowledge sharing, and continuous improvement.Evaluate and integrate emerging technologies, including AI, GenAI, and LLM-driven architectures, to enhance the intelligence and effectiveness of our platform.Drive architectural governance and documentation, ensuring long-term maintainability and transparency in decision-making.Communicate architectural direction clearly to both technical and non-technical stakeholders, building alignment through clarity and evidence.Within your first 30–60–90 days, you’ll move from deeply understanding our systems and architecture, to identifying strategic opportunities, to leading architectural initiatives that impact teams company-wide.Win Together, Default to Disclosure, and Customer Obsession will be critical to your success in this role — as you collaborate openly, build trust across teams, and design systems that empower our customers and community.Minimum Qualifications  10+ years of experience in software engineering and system architecture within a SaaS environment.Proven track record designing and delivering large-scale distributed systems, ideally using Ruby on Rails, ReactJS, TypeScript, GraphQL, and ElasticSearch/OpenSearch.Hands-on experience with GenAI and LLM integration in production systems; understanding of model lifecycle or AI-assisted architectures is a strong plus.Demonstrated experience leading architectural initiatives spanning multiple teams and product domains.Excellent communication and influence skills, capable of aligning technical and non-technical stakeholders around shared goals.Preferred Qualifications Experience driving modernization and scalability initiatives in complex, legacy systems.Deep knowledge of system reliability, security, and performance optimization in high-availability environments.Proven ability to mentor engineers and elevate architectural and coding standards across an organization.Compensation$230,000 – $255,000(HackerOne also offers equity in the form of stock options)#LI-MH1Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance ProgramFlexible Work Stipend*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. We are guided by principles that shape how we think, build, and execute, including deep customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in small, highly skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re building a globally diverse team of technologists and problem solvers who thrive in fast-paced environments, value collaboration, and approach every challenge with a Day 1 mindset. With hubs in New York City, Mountain View, Latin America, and India. If you’re driven by continuous learning, rapid iteration, and the challenge of building in a high-growth startup, this is more than a role—it’s a journey. We are seeking a Senior Staff Systems Engineer to drive the architectural vision for our GenerativeAgent product. In this role, you will design and build a highly scalable, multi-agent platform that powers real-time voice and text customer service experiences across a wide range of industries. As a Senior Staff Engineer, you will set long-term system direction, tackle the organization’s most complex technical challenges, and partner closely with engineering, product, security, and operations leaders. You will ensure our systems are resilient, scalable, and tightly aligned with both customer needs and business goals, while maintaining a strong hands-on presence and broad organizational impact.What you'll doTechnical Leadership & InfluenceAct as a technical authority and advisor across multiple engineering teamsDevelop and drive alignment on system design, technical roadmaps, and best practicesDesign and implement a scalable, multi-tenant deployment architecture that supports easy configuration of agents and business workflows for various customersDefine the communication, state management, and orchestration patterns for multi-agent systemsMentor senior engineers and help raise the bar on systems thinking across the organizationReliability, Scalability & SecurityOwn and define system-level SLOs/SLIs for high-traffic, real-time voice and text services, focusing on latency, cost-efficiency, and fault tolerance across the ecosystemIdentify systemic risks and proactively design mitigation strategiesPartner with Security and Compliance teams to ensure systems meet regulatory and security requirementsLead post-incident analysis and drive systemic improvementsCross-Functional CollaborationPartner with Product, Customer Engineering, SRE, and TPMs to translate business requirements into system designsWork with Research to evaluate and productionize cutting-edge ideas in the ML spaceDrive complex initiatives that span multiple quarters and involve multiple teamsCommunicate complex technical concepts clearly to both technical and non-technical stakeholdersWhat you'll need10+ years of experience building large-scale production systemsMastery in at least one cloud platform (AWS, GCP, Azure)Expertise with container orchestration (Kubernetes)Expertise with Python and/or GolangExcellent communication, consensus-building, strategic thinking, and mentorship abilitiesDeep understanding of:Distributed systems design patterns (e.g., service mesh, event-driven architecture, microservices)Reliability engineering principlesSystem performance and capacity planningAbility to lead through influence rather than authorityWhat we'd like to seeExpertise with the LLM development lifecycle (e.g. fine-tuning, RAG, deployment, evaluation, monitoring & feedback)Strong track record of building multi-agent systems at scaleExperience with security, compliance, and data privacy requirements (e.g. HIPAA, SOC 2) 240,000 - 265,000 a yearThe compensation includes salary plus performance bonus. The actual salary may be different depending upon non-discriminatory factors such as qualifications, experience, and other factors permitted by law. ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-AG1 #LI-Hybrid

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At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. We are guided by principles that shape how we think, build, and execute, including deep customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in small, highly skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re building a globally diverse team of technologists and problem solvers who thrive in fast-paced environments, value collaboration, and approach every challenge with a Day 1 mindset. With hubs in New York City, Mountain View, Latin America, and India. If you’re driven by continuous learning, rapid iteration, and the challenge of building in a high-growth startup, this is more than a role—it’s a journey. We are seeking a Speech Software Engineer to spearhead the architectural evolution of our voice infrastructure. This isn't just a maintenance role; you will be a primary architect in rebuilding our core speech stack from the ground up to support the next generation of real-time customer interactions. You will have the autonomy to make high-level technical decisions and the support of a team that thrives on deep thinking and startup-paced execution.  You will join the GenerativeAgent team, bridging the gap between cutting-edge ASR (Automatic Speech Recognition) research and high-performance production systems. If you are passionate about low-latency streaming, distributed systems, and the intricacies of audio processing, this is your opportunity to make a massive impact for millions of users.What you'll doArchitect & Modernize: Lead the design and implementation of a scalable, high-availability voice infrastructure that replaces legacy systems.Optimize Performance: Build and refine multi-threaded server frameworks capable of handling thousands of concurrent, real-time audio streams with minimal jitter and latency.Build for Scale: Deploy robust ASR > LLM > TTS pipelines that process thousands of calls concurrently.Stream Engineering: Develop robust logic for handling media streams, ensuring seamless audio data flow between clients and our ML models.System Observability: Build advanced monitoring and load-testing tools specifically designed to simulate high-concurrency voice traffic.Collaborate: Partner with Speech Scientists and Research Engineers to integrate state-of-the-art models into a production-ready environment.What you'll needExperience: 5+ years of software engineering experience, with a proven track record of building and maintaining production-grade infrastructure.Industry Knowledge: A background in building ASR/TTS products at scale that interact with foundational LLMs.Language Mastery: Expert-level proficiency in Golang, Python, or willingness to learn.Voice Fundamentals: Deep understanding of audio processing, including sample rates, codecs (Opus, G.711), network protocols, and buffering strategies. System Design: Strong background in object-oriented design and the ability to architect systems that are both modular and performant.Growth Mindset: The ability to navigate and refactor large existing codebases while transitioning to new, more efficient architectures.What we'd like to seeCloud Native: Hands-on experience with Kubernetes, Docker, and cloud providers (AWS/GCP/Azure) for deploying distributed speech services.Event-Driven Architecture: Familiarity with event loops (Boost.Asio, uvloop) and asynchronous programming patternsBig Data: Experience with Hadoop, Spark, or Hive for analyzing massive datasets of speech logs to improve model accuracy. 215,000 - 235,000 a yearThe compensation includes salary plus performance bonus. The actual salary may be different depending upon non-discriminatory factors such as qualifications, experience, and other factors permitted by law. ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-AG1 #LI-Hybrid

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About NoeticaNoetica is solving critical NLP problems at the heart of the trillion-dollar capital markets ecosystem with an in-house machine learning platform and decades of ML PhD expertise. Founded in 2022 and based in New York, our high-caliber team is dedicated to bringing innovation and efficiency to legal and financial industries.We count many of the top law firms in the world among our customers.To date we have raised ~$30M with our last round (Series A) led by Lightspeed. We're fortunate to have been featured in Wall Street Journal, Bloomberg, and American Banker, amongst others, and named a top AI company 2024 and 2025 by Business Insider, CB Insights, and others.The OpportunityThe global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms.Why We Need You As a Machine Learning Engineer at Noetica, you'll contribute to the development of AI systems that extract actionable insights from complex legal documents and data. Our legal benchmarking platform requires sophisticated NLP and LLM implementations to analyze contractual language, identify legal patterns, and generate meaningful comparisons across thousands of documents. You will collaborate with a talented, cross-functional team of ML PhDs, legal SMEs, data, security, and product engineers. Your role directly impacts our competitive advantage by enabling more advanced features and analysis of complex legal documents.Here's What You'll Be Doing As a Machine Learning Engineer, you will:Build ML models and pipelines with scalability and reproducibility as foundational principles, not afterthoughts.Develop NLP systems that can accurately process and understand complex legal language and terminology.Design and implement LLM-based solutions that are well-documented, and empower legal professionals to extract valuable insights.Extend and create reliable model evaluation frameworks that ensure accuracy and reduce the risk of model drift or bias.Simplify complex ML systems into more manageable solutions that are easier to understand, maintain, and explain.Optimize model performance through smart feature engineering and efficient algorithm selection based on actual use cases.Work with security engineers to implement responsible AI practices that protect sensitive data while still delivering valuable insights.Required QualificationsAn MS or PhD in Computer Science, Machine Learning, or a related field with a focus in ML/AI.2+ years of professional software engineering experience.Practical experience with traditional NLP techniques and modern LLM architectures.Proficiency with Python, PyTorch/TensorFlow, and ML deployment pipelines.Direct experience building and fine-tuning language models for specialized domains.Strong experience designing effective evaluation metrics for NLP systems.Strong communication and collaboration skills.A self-starting, problem-solving approach biased towards action and scope minimization.Preferred QualificationsYou have experience implementing ML systems in regulated industries.You have experience optimizing model performance and resource utilization in data-intensive environments.You have a strong background in legal text analysis or have worked with legal domain experts.You have experience with few-shot learning and prompt engineering techniques.You are interested in language, law, finance, or economics.You thrive in a high-leverage, fast-paced environment.CompensationThe reasonably estimated yearly salary for this role is $187,000-$270,000 USD. You will also be entitled to receive a significant early stage equity package and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.BenefitsWe offer numerous employee benefits, including:Medical, dental, and vision insurance with 100% employer-paid premiums for employees and 65% for dependentsHybrid in-office scheduleAmazing office location next to Bryant Park/Grand Central401(k) retirement planWellhub (Gympass) fitness membershipUnlimited PTOUnlimited sick daysCompany offsitesCommuter benefitsEqual Opportunity EmploymentWe are an equal opportunity employer. We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. We take care of each other to create an inclusive work environment where we love to come to work every day. We'd be happy to provide reasonable accommodations to help you apply—just email us at hiring@noetica.ai. We hope you can join us.

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About the Company:Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!About the RoleNetomi is hiring a Lead/Senior Product Manager to own the Analytics, Reporting, and Conversational BI product surfaces in Agentic Studio—the measurement and trust layer that helps enterprises build, operate, and continuously improve agentic customer experiences across chat, mobile, email, messaging, and voice/IVR. In mission‑critical environments (airlines, retail, banking, gaming), analytics is not a “dashboard”; it’s the control plane for reliability, governance, and outcomes. You will lead the productization of end-to-end analytics including real-time operational monitoring, historical reporting, LLM quality/evaluation (autoevals), observability for tool calling and workflows, and Conversational BI (natural language exploration over a governed metrics model). This role requires deep domain fluency in data science, data preparation, analytics systems, and the realities of LLM-driven systems (probabilistic outputs, evaluation, safety/guardrails, and runtime tracing)—combined with strong product craft, design sense, and delivery execution. This is an opportunity to lead with data at the frontier: partnering with internal Data Science and Engineering teams while collaborating with frontier model and cloud ecosystem partners to deliver best-in-class analytics and governance for enterprise agentic AI.ResponsibilitiesDefine and execute the Analytics/Evals/Governance roadmap with clear sequencing (MVP → v1 → v2) and measurable adoption targets.Partner deeply with Data Science to productize evaluation methodology (what we score, how we calibrate, how we prevent “gaming,” how we track drift).Partner with Engineering and Observability teams to standardize telemetry (tool spans, workflow transitions, model calls, cost/latency metrics) and make it usable in product.Drive a cohesive Agentic Studio UX across Build / Operate / Improve workflows: dashboards, drill-downs, investigation flows, alerts, and remediation actions.Establish objective success metrics and instrument them end-to-end (data correctness, timeliness, reliability, and customer impact).Work with Delivery/CS and enterprise partners to ensure analytics is usable for real operational processes: incident response, change management, governance reviews, and quarterly business reviews.RequirementsBachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative/technical field (Master’s a plus).6–10+ years of experience across Product Management and/or Data Science/Analytics leadership, including shipping analytics products to enterprise users.Demonstrated depth in: data modeling, telemetry/event schemas, ETL/ELT concepts, and analytics correctness. Building operational + business reporting (real-time monitoring and historical analytics).Experimentation and measurement design (A/B testing concepts, uplift measurement, cohorting).Strong hands-on experience applied to AI/LLM or data science platforms, including at least several of:LLM evaluation methods (automated scoring, multi-turn evaluation, calibration).Observability for probabilistic systems (quality + latency + cost).Tool calling / workflow execution analytics and failure taxonomy.Governance measurement (policy outcomes, escalation triggers, compliance reporting).Strong product craft: UX and information architecture instincts, ability to design operator workflows, and capability packaging that scales across customers.Preferred QualificationExperience building analytics for multi-tenant SaaS and regulated customers (auditability, RBAC, retention controls, privacy-by-design).Familiarity with cloud analytics stacks and enterprise BI integration patterns.Experience partnering with major cloud and frontier AI vendors (model providers, observability stacks, data platforms) to ship joint capabilities.Experience with contact center / CX metrics (containment, resolution, AHT, CSAT, handoff performance) and multi-channel operations (voice + digital).Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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About MashginMashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional. Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more. We’re not just building cutting-edge AI—we’re creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we’re also one of the rare AI startups that’s already profitable. Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We’ve thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don’t care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you’re in the right place.Position SummaryWe’re looking for a backend developer to help us build the software that runs our kiosks and powers the extensive infrastructure behind them. You’ll work on our code base that enables us to develop advanced deep learning solutions that power Mashgin's checkout experience for millions on transactions per month across the world. This is not a specialized position -- we believe in end-to-end ownership of projects, so you’ll be involved throughout the entire product lifecycle, from idea generation, design, and prototyping to execution, and shipping while contributing to many different parts of the codebase in multiple languages.What We Value:Impact: You will own significant responsibility and have total ownership over your code. We stay lean and efficient, so your work directly impacts the product we ship every day.Simplicity: Complexity is a waste of time here—we take pride in building things that just work.Hard Work: Forget the glamorous research papers. We prioritize the hard work it takes to achieve real-world clarity and accuracy. You will innovate relentlessly to push the boundaries of what’s possible in visual automation.Humility: No task is beneath you. Whether it's high-level architecture or grunt work to fix a bug, we check our egos at the door and get real work done.Ruthless Prioritization: If everything is on fire, nothing is. You will be expected to prioritize ruthlessly, cutting through distractions to focus on the most impactful product improvements.Customer Innovation: We are customer-centric, not customer-pleasing. You won’t bend to every client demand; you will let innovation drive the product forward to solve the real problems our users face.Efficiency: Meetings suck. We keep them short and only use them for alignment, giving you your time back to focus on real work.You Will BeOwning major feature development and working directly with the founders on product development from end to endWorking with a small interdisciplinary team in hardware, software and design to build new versions of products from scratchWork on building new features and dreaming up new architecture to solve challenging problemsBuild backend infrastructure to perform scalable training in the cloudRethinking and recreating existing codebases for scaleContinuously improving and maintaining code that’s already in production Minimum Qualifications4+ years relevant coding experienceB.S. or higher in Computer Science (or equivalent work experience)Excellent knowledge of one or more of these languages: Python, Node.js, C++, Go, C#, JavaComfortable learning new languages, libraries, and frameworks when the solution calls for itExperience building production-ready code that’s used regularly by lots of peoplePreferred QualificationsExperience in a fast-paced work environment, shipping quality code quickly and iteratingComfortable with deploying and managing cloud infrastructureGood knowledge of algorithms and data structuresStrong proficiency with SQL and other database technologiesWhat We OfferAn opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industriesExcellent health, dental and vision insurance for you and your dependents401k planFlexible PTO policyCatered lunch in office with fully stocked snacks and beveragesPet insurance for your fur babiesVoluntary life insurance planCompetitive salary and options in a small, rapidly scaling company 115,000 - 210,000 a yearFor roles based in Palo Alto, CA, the overall market range for Mashgin is typically $115,000 - $210,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives.Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.  Notice on fraudulent jobsWe have been made aware of instances of fraudulent job postings and/or fraudulent recruiting activity by bad actors, claiming to represent Mashgin. These fraudulent schemes often seek monetary contributions or payments from job seekers (such as for "start up costs" or "equipment"), or seek to collect sensitive personal or banking information from job seekers. These job postings and offers are not authorized by Mashgin, and Mashgin is not responsible for fraudulent offers or requests for personal information or payments. Mashgin will never ask for any financial commitment or contribution from a candidate at any stage of the recruitment process. Candidates who have questions about the validity of Mashgin job postings or offers should consult the job postings on our mashgin.com career site. If you think you've been scammed, please reference this site for more information.

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We are seeking a Senior AI Security Engineer to join our team, focusing on defining security workflows and incident response (IR) strategies. Our AI Security Engineers are at the forefront of the Agentic Security revolution, working directly with our customers to ensure the success of the platform, and expand our automation use cases. You will design and implement advanced security use-cases, build and automate simulations of complex attacks and environments, and research incidents to help improve our AI agents. Responsibilities:- Define and refine security workflows and incident response strategies.- Design and implement advanced security use-cases.- Build and automate simulations of complex attack scenarios and environments.- Research security incidents and provide insights to enhance our AI agents.- Collaborate with cross-functional teams to integrate security solutions into our platform.Requirements:- 4+ years of experience in security, including SOC, Blue Team, or IR roles.- Experience with Security Orchestration, Automation, and Response (SOAR) platforms.- Experience with automation and coding experience with python or similar languages- Ideal but not required: Cloud security experience.- Well-rounded knowledge and passion for security across various domains.- Strong problem-solving and communication skills.About Seven AI:We are seeking professionals of all levels who are eager to make a substantial impact and excel in a high-growth, dynamic environment. As AI is advancing at a pace never seen before, you'll join us at a pivotal stage, where your expertise can shape the future of cybersecurity. You'll have the opportunity to work on the bleeding edge of technology and drive true innovations, all while collaborating closely with industry veterans who are dedicated to defend the market from the new wave of AI-driven attacks. Our culture is centered around respect, collaboration and proactiveness, and a shared commitment to delivering exceptional value to our customers. If you’re passionate about building something extraordinary and thrive in an environment where your contributions truly matter, we’d love to connect with you.

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About the TeamWith Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities.Codex for Teams builds products and platform capabilities to drive the adoption of Codex in diverse team environments. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate.About the RoleCodex Runtime is the execution and infrastructure layer that turns Codex from a code generator into a real AI software engineer operating at scale. It provides secure, sandboxed environments where Codex can run commands, read and write files, execute tests, and iteratively improve its work across real codebases — just like a human developer. More broadly, Codex Runtime is the distributed systems substrate that enables large numbers of supervised AI agents to run inside OpenAI’s and customers’ data centers, tackling increasingly complex goals over long time horizons. By giving agents a real working context and reliable execution environment, Codex Runtime makes it possible for Codex to validate its own changes, debug failures, and deliver production-ready results, defining how AI agents safely, reliably, and at scale interact with the world’s software.In this role, you will:Shape the evolution of Codex itself by identifying how teams actually use (and break) AI-powered software engineering, and driving changes across product, infrastructure, and model behavior to make Codex a truly reliable teammate for organizations.Build the core team and enterprise primitives that make Codex usable at scale including container orchestration, virtual machine provisioning/configuration, execution sandboxes, shared block storage, RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used.Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data-access patterns that are performant, compliant, and trustworthy.Lead real-world deployments and launches by working directly with customers and GTM to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real-world feedback into scalable product and platform improvements.You might thrive in this role if you:Have strong software engineering fundamentals and experience turning ideas into production-grade large-scale distributed systems, thinking holistically about balancing speed, performance, costs, and user experience.Have been using AI-powered/agentic software development tools and are familiar with their strengths/weaknesses.Have experience with orchestration of scaled containerization and/or virtualization systems (e.g. Kubernetes, OCI).Are proficient in one or more backend languages (e.g. Python, Go, Rust) and concurrency/distributed systems concepts, with a focus on reliability, observability, and security.Enjoy building cross-cutting platform capabilities that unlock product velocity, and you’re comfortable working across services, APIs, and end-user product surfaces.Have experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls.Have built developer tools and workflows (CLI/IDE/SDK), automation systems (triggers/scheduling), or integration platforms that connect products to a broader ecosystem of tools.Like working directly with users/customers (or alongside GTM/solutions teams), and can translate messy, diverse requirements into opinionated implementations that scale across many teams.Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.About OpenAIOpenAI 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 PolicyAt 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.

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Introduction  PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role We are looking for passionate software engineers to join us in building the cutting-edge platform that empowers Data Scientists, Machine Learning Engineers and Simulation Engineers to create, train, and deploy physics-informed models at PhysicsX. You'll take ownership of your work from implementation to production, ensuring quality, scalability, and observability at every step. By engaging with our Guilds and leveraging domain knowledge from end users, you’ll not only refine your craft but also help shape the future of our software engineering practices. What you will do Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product. What you will bring to the table A passion for the evolving craft of software engineering. The ability to work collaboratively and effectively in cross-functional teams. Proficiency in both Python and Go. A willingness to take ownership from implementation to production, including testing, containerisation, continuous integration and delivery, authentication / authorisation, telemetry / observability / monitoring A working understanding of messaging in event-driven systems, which implies some experience using tools such as NATS, RabbitMQ, or Kafka for example. Some experience, professional or otherwise, developing applications for Kubernetes. CKAD is a plus, but by no means a requirement. What we offer Equity options – share in our success and growth. 10% employer pension contribution – invest in your future. Free office lunches – great food to fuel your workdays. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Introduction  PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role We are looking for passionate software engineers to join us in building the cutting-edge platform that empowers Data Scientists, Machine Learning Engineers and Simulation Engineers to create, train, and deploy physics-informed models at PhysicsX. You'll take ownership of your work from implementation to production, ensuring quality, scalability, and observability at every step. By engaging with our Guilds and leveraging domain knowledge from end users, you’ll not only refine your craft but also help shape the future of our software engineering practices. What you will do Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product. What you will bring to the table A passion for the evolving craft of software engineering. The ability to work collaboratively and effectively in cross-functional teams. Proficiency in both Python and Go. A willingness to take ownership from implementation to production, including testing, containerisation, continuous integration and delivery, authentication / authorisation, telemetry / observability / monitoring A working understanding of messaging in event-driven systems, which implies some experience using tools such as NATS, RabbitMQ, or Kafka for example. Some experience, professional or otherwise, developing applications for Kubernetes. CKAD is a plus, but by no means a requirement. What we offer Equity options – share in our success and growth. 10% employer pension contribution – invest in your future. Free office lunches – great food to fuel your workdays. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

false

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Introduction  PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role We are looking for passionate software engineers to join us in building the cutting-edge platform that empowers Data Scientists, Machine Learning Engineers and Simulation Engineers to create, train, and deploy physics-informed models at PhysicsX. You'll take ownership of your work from implementation to production, ensuring quality, scalability, and observability at every step. By engaging with our Guilds and leveraging domain knowledge from end users, you’ll not only refine your craft but also help shape the future of our software engineering practices. What you will do Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product. What you will bring to the table A passion for the evolving craft of software engineering. The ability to work collaboratively and effectively in cross-functional teams. Proficiency in both Python and Go. A willingness to take ownership from implementation to production, including testing, containerisation, continuous integration and delivery, authentication / authorisation, telemetry / observability / monitoring A working understanding of messaging in event-driven systems, which implies some experience using tools such as NATS, RabbitMQ, or Kafka for example. Some experience, professional or otherwise, developing applications for Kubernetes. CKAD is a plus, but by no means a requirement. What we offer Equity options – share in our success and growth. 10% employer pension contribution – invest in your future. Free office lunches – great food to fuel your workdays. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

false

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Introduction  PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role We are looking for passionate software engineers to join us in building the cutting-edge platform that empowers Data Scientists, Machine Learning Engineers and Simulation Engineers to create, train, and deploy physics-informed models at PhysicsX. You'll take ownership of your work from implementation to production, ensuring quality, scalability, and observability at every step. By engaging with our Guilds and leveraging domain knowledge from end users, you’ll not only refine your craft but also help shape the future of our software engineering practices. What you will do Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product. What you will bring to the table A passion for the evolving craft of software engineering. The ability to work collaboratively and effectively in cross-functional teams. Proficiency in both Python and Go. A willingness to take ownership from implementation to production, including testing, containerisation, continuous integration and delivery, authentication / authorisation, telemetry / observability / monitoring A working understanding of messaging in event-driven systems, which implies some experience using tools such as NATS, RabbitMQ, or Kafka for example. Some experience, professional or otherwise, developing applications for Kubernetes. CKAD is a plus, but by no means a requirement. What we offer Equity options – share in our success and growth. 10% employer pension contribution – invest in your future. Free office lunches – great food to fuel your workdays. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.