Openai jobs

Staff AI Scientist IND19-01-Bengaluru-EPIP 122 (Phase II) posted: Posted 23 Days Ago

Software Engineer, Full Stack (People Innovation) Remote - US, United States, San Francisco About the Team At OpenAI, we're building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we're designing systems that give our People Team a significant edge by infusing OpenAI's models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We're defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the Role We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You'll also innovate on how we apply LLMs in these domains. In this role, you will: - Own the full product development lifecycle for new people products end-to-end - Talk to internal stakeholders

Marketing Analytics Lead San Francisco, California, United States About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI's products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. Marketing Insights & Analytics team specifically aims to to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions. We're the strategic partner that discovers insights, specifically foundational understanding, insights for marketing strategy, thought leadership, measurement and tracking. About the Role You will be the analytics lead that defines a data-driven marketing development and measurement culture at OpenAI. This is critical as we hope to reach millions of users and businesses worldwide. In this role, you will: - Define KPIs for campaigns and marketing programs. - Develop clear measurement frameworks. Implementing full-funnel measurement and attribution tools to inform marketing investment. Providing data and insights that allow the org to assess performance and drive planning. - Design experiments to measure marketing campaign impact - Analyze large data sets, design and perform statistical analysis - Explore marketing or behavioral data to identify trends and key insights that uncover new growth opportunities or areas for efficiency improvements.

AI Deployment Engineer- Codex San Francisco, California, United States About the team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You'll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world's most influential companies. In this role, you will: - Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. - Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. - Build high-quality demos, reference implementations, and workflow

Senior AI Workforce Specialist Tokyo, Tokyo, JP

Forward Deployed Software Engineer - Singapore Singapore About the team OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI's APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role, you will: - Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. - Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. - Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. - Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects

AI Data Scientist 2 Locations posted: Posted 18 Days Ago

Product Manager, Safety Measurement San Francisco, California, United States About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI's frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives-from system-level safeguards and model training to evaluation and red-teaming-all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI's benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role The Safety Measurement Product Manager owns OpenAI's approach to measuring harm and safeguard efficacy in production, including driving the strategy for our suite of safety measurement platforms and products used across the company. You will partner closely with our safety research and engineering teams to determine what we measure, where we measure it, and how we measure it, feeding those insights directly into critical leadership decisions and back into our safety work. You will also represent the company's topline safety metric as well as prioritize incoming requests from partner teams to expand our safety measurement platform to more use cases. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Partner closely with data science, research, engineering, policy teams, and other stakeholders to craft a vision for

Open-Source Machine Learning Engineer - US Remote

Lead Machine Learning Engineer/ AI Systems Architect Location not specified posted: Posted 30+ Days Ago

GTM Readiness & Activation San Francisco, California, United States About the company OpenAI's mission is to build and ensure that safe artificial general intelligence (AGI) benefits all of humanity. This long-term undertaking brings together the world's best scientists, engineers, and business professionals to accomplish this. About the team The GTM Readiness & Activation team translates OpenAI's product innovation into real-world customer impact. We equip customer-facing teams with the knowledge, tools, and frameworks they need to succeed with customers. Our work connects strategy to execution - helping the field understand what matters, how to act on it, and how to deliver measurable outcomes for customers and the business. About the role OpenAI is hiring a GTM Readiness & Activation Manager to drive the activation of key GTM priorities across sales and customer-facing teams. This role focuses on translating company and GTM strategy into clear, repeatable execution in the field. You will design and run programs that help teams adopt new selling motions, operationalize launches, and drive measurable impact in pipeline and customer outcomes. You will work closely with GTM leadership and partner across Product Marketing, RevOps, and Product teams to ensure initiatives land clearly and consistently in field execution. This role is based in New York. We offer relocation assistance to new employees. In this role, you will: - Drive the global rollout of GTM initiatives across segments and regions, building scalable programs and enabling teams to adapt them for local markets and customer contexts - Define and build repeatable operating

Applied AI, Forward Deployed Machine Learning Engineer- Singapore Singapore About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you'll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and

Senior Project Manager, Design and Construction San Francisco, California, United States About the Team The Real Estate team at OpenAI is responsible for delivering workplaces that exist at the intersection of operational excellence and elevated aesthetics, and managing OpenAI's real estate portfolio to ensure that the organization is well-positioned for success in pursuit of our mission. About the Role As a Project Manager on the Design and Construction team, you will have the unique opportunity to shape OpenAI's global footprint and drive the growth of the Design and Construction team. You'll manage the full lifecycle of commercial construction projects, from initial design to final handover, and collaborate with internal and external partners to keep our expansion plans running at peak efficiency. This role is based in San Francisco, CA, but you will be expected to travel to project sites on occasion. 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: - Oversee and execute a wide range of projects simultaneously-from complex retrofits to large-scale buildouts-ensuring each is accurately defined, adequately staffed, and delivered on time and within budget, while also leading critical project management initiatives and specialty programs (such as EBCs and other unique construction efforts). - Collaborate cross-functionally with teams like Real Estate, Corporate Security, IT, Finance, and external stakeholders, including contractors and architects. - Manage capital budget planning, variance tracking, and financial reporting for all projects. - Conduct detailed project estimating,

Solutions Engineer, Pre-Sales San Francisco, California, United States About the Team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer you'll help our customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the Role We are seeking a solutions engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. 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: - Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging OpenAI APIs and ChatGPT can meet customers' business needs and deliver substantial business value. This includes building

GENAI / MACHINE LEARNING ENGINEER - VOIS Pune, Maharashtra, India

Principal AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 30+ Days Ago

Forward Deployed Software Engineer - London London, UK, London, Greater London, United Kingdom About the team OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI's APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. - Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. - Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. - Work hands-on with customers' technical teams as a technical expert and trusted advisor,

Software Engineer, Fleet Hardware Health San Francisco, California, United States About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI's models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI's compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: - Build and maintain automation systems

AI Research Scientist 2 Locations posted: Posted 15 Days Ago

Security Engineer, Application Security San Francisco, California, United States, Remote - US 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 As a Security Engineer, Application Security you will be responsible for identifying and mitigating security vulnerabilities within software applications through building security tools, code reviews, penetration testing, and security assessments. We're looking for people who will work closely with development teams to ensure secure coding practices are integrated throughout the software development lifecycle, preventing security risks before they emerge. You will also provide security guidance to developers and other stakeholders, fostering a culture of security awareness within the organization. The role is preferred to be based in San Francisco, Seattle or New York City but may consider remote work. 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: - Perform Security Assessments : Conduct regular security assessments, code reviews, and penetration testing to identify vulnerabilities in applications and software. - Develop and Implement Security Tools : Design, develop, and implement

Principal Engineer, Machine Learning, SMAI Fab 10A, Singapore posted: Posted 10 Days Ago

Research Engineer, Frontier Evals & Environments San Francisco, California, United States About the team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a researcher working on Frontier Evals & Environments, you will help build north star model environments to drive progress towards safe AGI/ASI. Your work will directly guide the research programs of the most ambitious training runs happening at OpenAI. Some prior open-sourced evaluations built by researchers in this role include GDPval , SWE-bench Verified , MLE-bench , PaperBench , and SWE-Lancer . If you are interested in feeling firsthand the fast progress of our models, and steering them towards good outcomes, this is the role for you. You

Performance Modeling Engineer San Francisco, California, United States, Seattle About the Team OpenAI's Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design. About the Role We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions. This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure. 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. Key Responsibilities - Develop and maintain performance modeling tools and frameworks. - Build models to evaluate system behavior across: - compute, memory, and interconnect subsystems - distributed system scaling and bottlenecks. - Run simulations and analytical models to support architectural tradeoff analysis. - Collaborate with performance modeling lead and system architects to answer

AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 7 Days Ago