People Research Scientist in United States

About the Team The ChatGPT Library team is building the place where people can save, organize, rediscover, and build on the content they create with ChatGPT. Our goal is to make ChatGPT more useful over time by helping users seamlessly return to important files, images, conversations, and other content across their devices. The team works at the intersection of product engineering, design, and AI research to create intuitive, personalized experiences that make users’ content easy to find and act on. On Android, we are focused on delivering fast, reliable, and deeply native experiences that put a user’s evolving body of work at their fingertips. About the Role We are looking for a senior Android engineer to help build the future of ChatGPT Library on mobile. You will own high-impact product experiences across the Android stack, shaping how millions of people save, organize, discover, and interact with their content in ChatGPT. In this role, you will: Build and ship new Android experiences that help users easily access, organize, and build on the content they create with ChatGPT. Own features end to end—from early product exploration and technical design through implementation, experimentation, launch, and iteration. Develop scalable, maintainable foundations that allow Libraries experiences to evolve quickly as new AI capabilities emerge. Improve the architecture, performance, reliability, and responsiveness of content-rich experiences across a wide range of Android devices. Thoughtfully integrate Android platform capabilities to create experiences that feel intuitive and native to mobile. Partner closely with product, design, research, data science, and engineering teams to translate emerging AI capabilities into useful, polished products. Help establish technical direction and raise the quality bar for Android development across the team. How We Work We care deeply about building products that are intuitive, useful, and trustworthy. We move quickly from ideas to wo

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our new New York City office. About the Role: We are seeking a Senior Metro Specialist of Suburban Growth to take charge of solving one of Taskrabbit’s largest puzzles: how to unlock meaningful, scalable growth in suburban areas where we already operate but see massive opportunity. These areas hold untapped potential for high-margin growth and long-term value due to their client profile. This role is ideal for someone who thrives on solving difficult growth problems, can blend data with local insight, and isn’t afraid to roll up their sleeves to build localized, custom growth strategies to ultimately scale. You’ll define the Suburban playbook, combining research, channel testing, and go-to-market experimentation to help us crack the code on supply and dema

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely. The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting. About the Role We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems. You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity. In This Role, You Will Lead and grow a high-performing Trust & Safety Data Engineering team. Define the roadmap and technical strategy for Trust & Safety data systems. Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring. Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting,

About the Team: The Shopping team is building the future of how people discover, evaluate, and purchase products through AI. Our mission is to help users make better purchasing decisions by combining OpenAI’s models with rich product information, merchant ecosystems, and personalized experiences. We sit at the intersection of AI, commerce, search, recommendations, and consumer product experiences, partnering closely with product, engineering, research, design, and business teams to reimagine shopping for the AI era. About the Role: As a Product Manager on the Shopping team, you’ll define and build the next generation of AI-powered shopping experiences within ChatGPT. You’ll be responsible for understanding user needs, identifying opportunities to improve product discovery and decision-making, and delivering experiences that help users confidently find and purchase the products that are right for them. You’ll work across a broad set of domains, including search, recommendations, personalization, merchant and product ecosystems, and conversational commerce. This role requires strong product judgment, comfort operating in ambiguity, and the ability to balance user value, business objectives, and technical constraints. You’ll partner closely with engineers, designers, researchers, and cross-functional stakeholders to bring new shopping experiences from concept to scale. This is an opportunity to help define an entirely new category at the intersection of AI and commerce, shaping how millions of users discover and buy products in the future. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Define and drive the product vision for shopping experiences in ChatGPT. Partner with research teams to explore how AI can help users discover, evaluate, and confidently purchase products. Collaborate with cross-functional teams—including design, engineering, product, and go-to-market—to build and scale AI-native shopping experi

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 The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and build systems to manage both cloud and bare-metal fleets at scale. Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. Automate infrastructure processes, reducing repetitive toil and improving system reliability. Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you: Have strong software engineering skills with experience in large-scale infrastructure environments. Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers). Have deep expertise in server-level systems (e.g., systems, containerization, Chef,

ABOUT TOPGOLF Topgolf is a sports entertainment company that has changed how millions of people experience golf—and a genuinely energizing place to build a career. Every year, guests visit our venues for an experience that's hard to find anywhere else: hitting golf balls toward a target-lined outfield, tracking every shot in real time, enjoying great food and drinks, and connecting with friends, family, and coworkers. With more than 100 venues worldwide and proprietary Toptracer technology integrated into our guest experience and licensed globally, Topgolf operates at the intersection of entertainment, technology, and hospitality. We are a growing, dynamic business with meaningful opportunities to innovate, scale, and continuously improve how we support our teams and our guests. WHAT WE'RE SEEKING The Senior Venue Marketing Specialist will work with various Topgolf locations (US) nationwide in support of local and regional marketing-related efforts. This includes, but isn't limited to, fielding venue inquiries, supporting ongoing campaigns and initiatives, ensuring brand standards are maintained, and supporting the development of marketing plans and assets. This position will work cross-functionally to ensure achievement against traffic goals, and will maintain the venue marketing calendar, owned channel calendar, and brand asset schedule. WHAT YOU WILL DO Key Responsibilities ● Serve as liaison between the venues and the Brand team, fielding inquiries, providing information and resources, and problem solving ● Effectively support venue marketing initiatives, using creativity, strategic thinking, and an understanding of brand goals and priorities to ensure promotions and programs are successful ● Collaborate cross-functionally to ensure that brand standards are maintained across all US venues with all Player-facing signage and branded spaces ● Field and research market engagement oppo

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Facilities Technician – JLL What this job involves: We are seeking a proactive and skilled Facilities Technician to join our team in a role that is essential for the daily operation, upkeep, and long-term reliability of building systems. This position primarily supports vivarium operations, ensuring all equipment, utilities, and facility conditions meet strict compliance, performance, and environmental standards. While not stationed in the vivarium full-time this work will take place within laboratory, facility and vivarium environment, including preventative maintenance, corrective maintenance, environmental checks, and vivarium-specific work orders. This hands-on role requires strong technical ability, attention to detail, professionalism, and effective collaboration across Facilities and Research departments to maintain operational excellence and compliance. What your day-to-day will look like: Conduct regular vivarium walkthroughs to ensure cleanliness, operational readiness, and compliance with facility and environmental standards Complete all preventative and corrective maintenance for vivarium equipment, including HVAC components, air handling units, lighting systems, water supply systems, alarms, monitoring devices, and specialized mechanical systems Respond promptly to daily maintenance requests and vivari

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary: The Senior Informatics Sales Specialist will use their strong genomics, healthcare and Informatics technical knowledge and expertise to identify and close Informatics opportunities. This involves selling to prospective customers and Illumina colleagues on Next Generation Sequencing and Genomic data analysis pipelines, applications and products primarily for use in clinical research or testing. They will act as an influencer and expert resource for customers and others to ensure success while enabling sales growth through strategic activities and creative problem solving. The Informatics Sales Specialist should be viewed as a “go to” subject matter expert for all things Informatics, with primary focus on Illumina’s clinical software products. As an Informatics Sales Specialist, you are impacting clinical data analysis and interpretation through effective engagement with C-level executives, Laboratory Directors, Healthcare practitioners, IT leaders, and data analysts. You are establishing Illumina as a prominent cloud-based enterprise platform provider to the Clinical, Pharma, and Healthcare se

About the Team The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP). We make plugins easy to discover, install, and use, ensure they’re invoked at the right time, and help people find new ways to get value from them. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work spans creation and publishing, reliable execution across our products, clear permissions and approvals, and the controls admins need to bring plugins to their organizations. We work closely with research to improve plugin quality as models evolve. About the Role We’re looking for product-minded engineers to build the systems behind plugins and improve how models use them. Depending on your focus, you may scale generalist infrastructure and identity-related integrations across products, or improve plugin quality at the intersection of backend engineering and applied AI or work on the product experience itself to drive plugin usage. You’ll work across teams and own problems from diagnosis and design through implementation and release. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. Build intuitive experiences that help users discover, install, and use plugins to get more done. Make plugins easier to create, test, publish, update, and share. Improve when and how models use plugins, from choosing the right plugin to completing a task. Work with Research to diagnose failures and measure improvements as models evolve. Improve plugin reliability and interaction quality acros

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. About the Role As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. In this role, you will: Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. Coordinate system resources: Develop scheduling and resource policies that balance inference with other device act

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role The New York Times' Marketing team is looking for an Associate Manager, Growth Media Strategy (Temporary) oversees paid digital media strategy for our Acquisition program.The Enterprise Paid Acquisition team works on projects in service of enterprise subscription growth, making decisions to ensure we maximize paid subscriptions across products, including the All Access bundle, Cooking, Games and The Athletic. Job Description You will manage campaign activation, development, optimization and reporting. You will work with internal partners in Marketing, Creative, Data Insights, and Audience in helping us reach our goal to achieve 15 million subscribers by 2027. This is a hybrid role based in our New York headquarters, reporting to the Manager, Growth Media Strategy. You can typically expect to be in the office 3 days per week. Responsibilities: You will provide performance reports and insights for ongoing analysis, including ad hoc analysis to determine short and long-term optimizations and support forecasting needs. Use past insights, data visualizations, and research to develop POVs and share media expertise with the immediate and broader team in both written and verbal formats. Manage detailed media budgets, allocations, and delivery across multiple campaigns and vendors to maximize return on ad spend. Partner with the in-house platforms team, guiding campaign execution. Approve optimization recommendations and enhance perfor

About the Team The Marketing team helps OpenAI bring products, research, and company priorities to the world with clarity, creativity, and impact. We partner across Product, Research, Design, Creative, Communications, Finance, Legal, and Go-to-Market teams to translate complex technology into work that people can understand, trust, and use. Marketing Strategy & Operations builds the operating systems that help this work move with focus and speed. We connect priorities to plans, plans to resourcing, and resourcing to execution, so teams can make better decisions earlier and stay aligned as priorities evolve. About the Role We’re looking for a Strategy & Operations Lead, Hardware Marketing to help build and run the operating system for OpenAI’s Hardware Marketing work. This role will partner closely with Hardware Marketing leadership, Product Marketing, Product, Design, Creative, Production, Communications, Finance, Legal, and external partners to bring structure to a fast-moving, highly cross-functional product area. You will help the team clarify priorities, build plans, manage intake, track decisions, surface risks, frame tradeoffs, and keep critical workstreams moving from planning through operating readiness. This is a strong fit for someone who can operate independently in ambiguity, build practical systems from scratch, and move fluidly between strategy and execution. Experience with complex product launches or sensitive, cross-functional product areas is preferred. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and run the core operating rhythm for Hardware Marketing, including planning cycles, planning reviews, weekly priorities, decision forums, risk tracking, and leadership-ready updates. Partner with Hardware Marketing leadership to translate business and product priorities into clear workstreams, owners, milestones,