Openai jobs

OpenShift Infrastructure - Senior Consultant 8 Locations posted: Posted 17 Days Ago

Staff Machine Learning Engineer Pune, India posted: Posted Yesterday

Infrastructure Partnership Delivery Lead – Stargate Remote - US, United States About the Team OpenAI, in close collaboration with our capital partners, is building the world's most advanced AI infrastructure ecosystem through the Stargate program-an initiative to develop massive next-generation datacenter campuses in partnership with industry leaders. The Physical Infrastructure team sits at the center of this effort, driving infrastructure strategy and execution from site development through full operational readiness. This team operates at the intersection of technical infrastructure, delivery, operations, and commercial partnerships, working across internal teams and external partners to enable large-scale AI compute deployments. About the Role We are seeking an Infrastructure Partnership Delivery Lead - Stargate to own partnership and delivery from construction through compute readiness across one of our most critical infrastructure relationships. This role serves as the primary delivery owner and strategic operational interface for key Stargate programs, ensuring successful execution across construction, datacenter operations, hardware deployment, and partner ecosystems. You will operate across technical infrastructure, delivery execution, and partnership management to ensure infrastructure programs move quickly, efficiently, and reliably from buildout through operational readiness. This is a people management role requiring strong physical infrastructure experience, delivery leadership through turn-up, and the ability to navigate complex multi-partner environments with urgency and clarity. Key Responsibilities - Own operational delivery for major Stargate infrastructure programs across partner-operated datacenter campuses - Serve as OpenAI's primary delivery interface with strategic infrastructure partners - Coordinate execution across construction, facilities, hardware deployment, and infrastructure operations teams - Drive operational readiness

Technical Deployment Lead, Life Sciences San Francisco, California, United States 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 As a Technical Deployment Lead (TDL) for Life Sciences, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You'll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Life Sciences vertical, partnering with pharmaceutical companies, clinical research organizations, and other data and services providers to deploy next-generation AI capabilities across their drug discovery, development, and operations. You will own delivery end-to-end: embedding with Life Sciences customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You'll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a

AI Trainer - Advanced Mandarin Fluency (EST) Remote AI Trainer - Advanced Mandarin Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Mandarin Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Mandarin. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI

GenAI & Agentic AI Developer Mumbai, Maharashtra, India posted: Posted 30+ Days Ago

Software Engineer, Financial Engineering San Francisco, California, United States About the team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released groundbreaking products such as ChatGPT, Plugins, DALL·E, and APIs for GPT-4, GPT-3, embeddings, and fine-tuning. Our team also manages large-scale inference infrastructure. With much more on the horizon, our impact continues to grow. Our customers create fast-growing businesses using our APIs, enabling product features previously unimaginable. ChatGPT exemplifies the current scope of possibilities. We prioritize the responsible use of our powerful tools, valuing safe deployment over unchecked expansion. Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements. We seek an experienced engineer to architect and refine our billing systems, enhancing their functionality to meet the demands of our increasingly complex and expansive product offerings. In this role, you will: - Architect and build the next generation of billing and monetization systems at OpenAI. - Develop across the stack to create comprehensive billing integrations for our range of ChatGPT and API users. - Design a versatile billing platform suitable for both subscription and usage-based offerings, ensuring scalability and enterprise readiness/flexibility. - Construct and integrate tools that empower internal teams to seamlessly incorporate billing data into their workflows. - Collaborate closely with a wide array of stakeholders, including the Product, Data, Finance, and

Technical Deployment Lead - Tokyo Tokyo, Japan, Tokyo, Japan 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 This is a founding role. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You'll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You'll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to

IT Controls Data Engineer San Francisco, California, United States About the Team The IT and Security organization builds the systems, data foundations, and automation that help OpenAI operate securely and reliably at scale. We support critical domains across identity, access, infrastructure security, enterprise systems, and internal productivity. As OpenAI grows, audit readiness and control assurance increasingly depend on reliable data: accurate system inventories, access populations, change records, configuration state, exception signals, and evidence generated directly from source systems. Our goal is to move beyond manual evidence collection and build scalable data products, automated validation, and continuous control monitoring that make security and IT controls measurable, repeatable, and defensible. About the Role We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness, IT controls, evidence automation, and continuous control monitoring. In this role, you will design and maintain the pipelines, datasets, models, validation logic, dashboards, and evidence exports that make IT controls measurable, repeatable, and defensible. You will work across Security, IT, Infrastructure, Engineering, Finance Risk Management, and auditors to turn complex system behavior into reliable control data products. This is a technical builder role. The ideal candidate is strong in data engineering and analytics engineering, comfortable working with enterprise and security system data, and able to explain data lineage, source-system behavior, and control logic clearly to technical and audit stakeholders. You'll be responsible for - Building reliable data pipelines, models, and datasets for IT controls, including access, identity, configuration, change, ticketing, exception,

AI Product Engineer San Francisco | [OnSite]

Researcher, Frontier Biological and Chemical Risks San Francisco, California, United States About the Team Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: - Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. - Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. - Coordination. Setting mitigation targets by maintaining OpenAI's preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the Role We are looking to hire exceptional research engineers that can push the boundaries of our frontier models. Specifically, we are looking for those that will help us shape our empirical grasp of the whole spectrum of AI safety concerns and will own individual threads within this endeavor end-to-end. You will own the scientific validity of our frontier preparedness capability evaluations-designing new evals grounded in real threat models (including high-consequence domains like CBRN as well as cyber and other frontier-risk areas), and maintaining existing evals so they don't stale or silently regress. You'll define datasets, graders, rubrics, and threshold guidance, and produce auditable artifacts (evaluation cards, capability reports, system-card inputs) that leadership can trust during high-stakes launches. In this role, you'll: - Work on identifying emerging AI safety risks and new methodologies for

Senior AI/ML Engineer 2 Locations posted: Posted Today

Sr. AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Today

Manager, Partner AI Deployment Engineering - AWS San Francisco, California, United States About the team The AI Deployment Engineering (ADE) team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact GenAI use cases and driving them into production through strong architectural guidance and hands-on execution. The Partner ADE organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful deployments of OpenAI technologies. As the leader of the AWS Partner ADE pod, you will manage a team of AI Deployment Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI's platform. About the role We are seeking a Manager, Partner AI Deployment Engineering - AWS to lead a team of AI Deployment Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help scale repeatable deployment motions. Your team will guide partners and customers through the full AI implementation lifecycle-from solution design and architecture reviews through production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering teams to ensure the voice of partners and customers informs our platform roadmap and deployment strategy. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured

Principal AI Engineer Chicago, IL, USA posted: Posted 3 Days Ago

Staff Machine Learning Engineer - Edge AI Remote - US Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally. You will work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features, services, and optimizations. This is a remote position open to candidates residing

Technical Deployment Lead - 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 This is a founding role. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You'll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You'll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering

M&A Recruiter, People San Francisco, California, United States About the Team The Strategic Initiatives team sits within OpenAI's Recruiting organization and focuses on some of the most dynamic, people-driven areas of the company. We lead efforts across Executive Recruiting, Mergers & Acquisitions, Talent Intelligence, High Impact Talent, and Special Projects. About the Role As a Mergers & Acquisitions Recruiter, you'll be a key partner in evaluating and closing talent through high-stakes M&A deals. This role demands exceptional judgment, speed, and absolute discretion. You'll operate at the center of some of OpenAI's most impactful decisions - shaping the future of the company by bringing in extraordinary, mission-aligned talent. We're looking for someone who thrives in ambiguity, moves seamlessly between strategy and execution, and is energized by complexity, challenge, and pace. This role is based in our San Francisco office and we aren't considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees. In this role, you will: - Lead talent evaluation process from pre-diligence mapping, interview prep, through closing candidates. - Collaborator on People diligence, organizational design, and long-term talent strategy in partnership with HRBPs, M&A People Partner, Corporate Development, Legal, and functional leaders. - Work collaboratively with multiple cross-functional teams across the company, including on post-transaction and integration activities. - Provide strategic partnership to the business and domain Recruiting across various flavors of formal and

Artificial Intelligence Engineer Bengaluru, Karnataka, India

Facilities Operations Lead - Stargate San Francisco, California, United States About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world's most advanced AI infrastructure ecosystem. The Infrastructure team is central to this mission, setting the core strategy and implementing the vision. From site selection to deployment to operations, this team sits at the intersection of commercial, technical, and operational domains, interacting with experts and executives inside and outside of OpenAI. We design and operate mission-critical facilities that support cutting-edge AI workloads at scale. About the Role We are seeking a Facilities Operations Lead to support the commissioning, deployment, and long-term operation of our next-generation AI data centers. This role bridges the interface between data center construction and hardware landing, ensuring seamless integration of mission-critical infrastructure with hardware deployment timelines. You will define and execute commissioning plans, support infrastructure bring-up, and take ownership of operations and maintenance for cutting-edge, large-scale, AI data centers. You will collaborate closely with design, construction, and hardware teams to define repeatable processes for new data center builds and lead hands-on operations to uphold the performance and reliability of our deployed infrastructure. Key Responsibilities - Define and execute sequences of operations, commissioning steps, and bring-up processes for mission-critical data center facilities. - Interface with the design and hardware teams to define deployment procedures tailored to each data center and hardware configuration. - Oversee installation, commissioning, and operational readiness of large-scale data center campuses. - Manage monitoring, maintenance,

AI Agent Engineer Bengaluru posted: Posted 16 Days Ago

Senior Staff Machine Learning Engineer, GenAI Platform Remote - United States Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You'll Do: As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit's large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence. Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. - Lead and execute the vision, strategy, and roadmap for Reddit's large-scale GenAI Platform. - Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably. - Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs

Software Engineer, Identity Infrastructure Engineering San Francisco, California, United States, Seattle, New York City, 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 Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI-Applied Engineering, Research, IT, and Security-to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research. 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. About the Role As a Software Engineer on the Identity Infrastructure Engineering team , you'll be instrumental in creating, deploying, and operating foundational security tools and infrastructure. You will work with a broad range of technologies to support multi-cloud deployments, ensuring that researchers and engineers can safely build, test, and scale transformative AI systems. The role requires a balance of strong technical depth, cross-functional collaboration, and a passion for embedding secure-by-default principles into every layer of our stack. We are looking for Software Engineers interested in coming to tackle challenges in these areas: - Identity & Access Orchestration : Build and maintain the systems and interfaces that manage user and service identity,

Senior AI Engineer London (hybrid)