Ai Research Scientist in United States

About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society, and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Oversight Research team aims to fundamentally advance our capabilities to maintain oversight over frontier AI models, and leverage these advances to ensure OpenAI’s deployed models are safe and beneficial. This requires a breadth of new ML research in the areas of human-AI collaboration, reasoning, robustness, and scalable oversight to keep pace with model capabilities. We invest heavily in developing novel model and system-level methods of identifying and mitigating AI misuse and misalignment. Our goal is to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with a passion for AI safety and experience in safety research. Your role will set directions for research to maintain effective oversight of safe AGI and work on research projects to identify and mitigate misuse and misalignment in our AI systems. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: Develop and refine AI monitor models to detect and mitigate known and emerging patterns of misuse and misalignment. Set research directions and strategies to make our AI systems safer, more aligned, and more robust. Evaluate and design effective red-teaming pipelines to examine the end-to-end robustness of our safety systems, and identify areas for future improvement. Conduct research to improve models’ ability to reason about questions of human values, and apply these improved models to practical safety challen

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 NYC. 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, coding side-by-side to drive projects to completion on their infrastructure. Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if

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 Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. 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 Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

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 Seattle. 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, coding side-by-side to drive projects to completion on their infrastructure. Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this rol

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational wor

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale. Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads. About the Role We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure. In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads. This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs. 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 Engage deeply with silicon vendors (e.g NVIDIA & AMD) on GPU and accelerator architecture tradeoffs. Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware. Translate vendor specifications into expected real-world performance for AI workloads. Evaluate architectural aspects including: compute throughput and utilization memory systems (HBM, cache hierarchies, bandwidth constraints) data types and precision tradeoffs (FP16, BF16, FP8, etc.) interconnect and scaling behavior. Run benchmarks and profiling to validate hardware performance a

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role The Notion Recruiting team acts as trusted business partners who craft a thorough, inclusive, and curated interviewing experience. We believe hiring exceptional talent, at the right time, is the best path forward in order to achieve our company’s ambitious goals. We're looking for a GTM Recruiter to support our growth across key Go-to-Market (GTM) teams. In this role, you'll bring craft, clarity, and care to every search, balancing speed with sound judgment to help us grow intentionally. This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve Partner with leaders and advisors across our GTM teams - including the Sales Organization - as a trusted thought partner and advisor. Own the end-to-end recruiting process - from sourcing through close - creating a thoughtful, inclusive, and high-touch experience for each and every candidate. Conduct market research and talent mapping to inform and ev

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027. What You'll Achieve: You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows. You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments. You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion. Qualifications: Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027. Previous internship experience. Working towards a proficiency of one or more programming languages such as TypeScript, Node.js

The Complex Assets Product Manager is a senior position within Product Management, responsible for day-to-day product management for complex financial instruments, setting strategy, and providing direction within the Complex Assets domain. The role requires a deep hands-on working knowledge of Complex Assets, including OTC derivatives, Exchange Traded Derivatives, and Portfolio Swaps, within a financial services business. Additionally, this role will be responsible for the development of product plans, strategies, and tactics while coordinating product lines through product life cycles in coordination with the broader Product Management team. This role will leverage broad Complex Assets domain knowledge, deep experience influencing product, operations, design, and IT architecture change. Timely execution, seamless business and client change are extremely important to ensure continued growth and expansion of relationships with strategic clients in the complex assets space. What you’ll do Oversee strategic roadmap, development, launch, and marketing to gain maximum benefit from each product Oversee day-to-day product management for core products such as product delivery, client experience, and client communication strategies as well as help the team prioritize, negotiate, and remove obstacles to achieve business results Execute client value propositions, positioning, segmentation, pricing, targeting, channel strategies, and competitive differentiation to achieve preferred status as a partner to Citi clients Develop plans and execute functional strategies for a country, multiple countries, region, or business requiring coordination and integration across units as well as provide input into strategic decisions affecting job family or function within a region or business Manage client and competitor market research, develop product innovation roadmap, and address fundamental trial

About the Team Our Advertising & Promotions Marketing team operates at the intersection of e-commerce and advertising, surfacing and monetizing relevant content that benefits our core audiences. We provide digital solutions to help advertisers reach DoorDash audiences. The growing DoorDash ads business will quickly become the single best place for merchants and brands to market to local customers, in an ecosystem that benefits all parties. About the Role Our advertising business is one of the fastest-growing parts of DoorDash. This role exists to ensure our sellers are equipped with the right materials for key conversations with enterprise advertisers. You will own the sales content portfolio for our ads business and design the system that produces it. You will co-create our annual sales narrative with our platform and product marketing partners, and own translating it into the practical materials the field actually uses to win. That covers the content sellers use in front of advertisers: pitch decks, one-pagers, customer proof, and playbooks, along with the research that informs it and the governance that keeps it up to date. You will also develop content for our external advertiser training materials. You will manage a team of four marketers covering Restaurant, CPG, and agency audiences across the US, Canada, Australia, and New Zealand, supporting a field of hundreds of sellers. You will partner with Sales, Product Marketing, Revenue Enablement, Product, and business leaders to develop content. Recurring content maintenance and library administration sit with your team. This role reports to the Sr. Director, Ads Marketing. You're excited about this opportunity because you will… Build deep fluency in our ads product suite across our Restaurant and CPG offerings, including occasions and co-marketing programs, and translate that expertise into seller storytelling and content. Own the sales content portfolio and design the operating model behind it, applying bran

Job Details: Job Description: Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision. Life at Intel: https://jobs.intel.com/en/life-at-intel As a Yield Development Engineer, you will be at the forefront of advancing Intel's cutting-edge process technologies within our Logic Technology Development (LTD) organization. This pivotal role involves identifying root cause yield limiters and driving solutions that enhance manufacturability and yield across technology nodes. You will work within a dynamic, fast-paced environment to ensure the successful introduction of new products, process improvements, and robust methodologies to meet manufacturing goals. Your expertise will directly contribute to Intel's ability to deliver world-class semiconductor solutions and advance the future of computing. About Intel Foundry At Intel, the Foundry Technology Development (TD) unit is the driving force behind Moore's Law, enabling us to create groundbreaking technology that enriches lives globally. With over 15,000 dedicated employees, Foundry TD spearheads innovative research, develops next-generation processes and packaging technologies, and manages high-volume manufacturing in state-of-the-art facilities. Within Intel Foundry TD, our Logic Technology Development (LTD) organization is at the forefront of creating and refining each process technology node, paving the way for tomorrow's computing solutions. Your responsibilities as a Product Yield Development Eng

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing. The Opportunity As a Graduate Performance Engineer, you will contribute to the design, integration, bring-up, and validation of complex server- and rack-level performance of elaborate, large-scale systems. You will work alongside experienced engineers, software developer, and cross-functional partners while building practical skills in component, system and scale up/out performance optimization and design. Start: September, 2027 Location: Austin, Texas, USA What You’ll Do Support the design, peer review, bring-up, and debug of complex server- and rack-level systems. Assist with modeling, design and evaluation of the complete software and hardware stack identifying performance bottlenecks, possible solutions and testing those outcomes. Collaborate with many different teams across both hardware and software development and testing. What You’ll Bring A bachelor’s or master’s degree in electrical engineering, computer engineering, or a related discipline, completed before the role’s start date. Equivalent relevant education or practical experience will also be considered. Foundational knowledge of software development, hardware architecture and general understanding of performance implications. Hands-on experience gained through coursework, laboratories, internships, research, student projects, or personal projects. Ability to analyze technical problems, document your work, communicate clearly, and collaborate effectively. Curiosity, sound engineering judgment, a

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

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. In this position, you will be joining a brilliant team to collaborate with Micron’s various design and verification teams all over the world, support the efforts of design verification flow development, optimization, and implementation and work with cross-functional team to assure the best cost, quality, reliability, time-to-market, and customer satisfaction As Memory Design Group CAD Engineer at Micron Technology, Inc., you will be working in a collaborative, production support role evaluating, developing enhancing and debugging both in-house and commercial Electronic Design Automation (EDA) tools and flows for the physical layout and design of CMOS integrated circuits. You will work closely with the Design, Layout teams, supporting their use of electronic design automation tools and methodologies to increase design and layout productivity and work efficiency. Responsibilities : Develop tools, flows, and methodologies to increase the productivity and reliability of our Memory designs Integrate commercial EDA (Electronic Design Automation) tools into design flows Provide training, documentation, and support to end users on new tools and method. Work closely with design, layout, verification and process teams. Undertake independent research and development of ne

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Global Procurement team drives Micron's growth through strategic sourcing, cost optimization, supplier partnerships, and supply chain resiliency initiatives. Leveraging data-driven insights, market intelligence, and innovative technologies, the team delivers value across Micron's global operations while fostering a collaborative culture focused on continuous improvement and professional development. As a Category Supplier Management Intern, you will support category management and strategic sourcing initiatives that drive business value across Micron's global procurement organization. You will gain hands-on experience in cost analysis, supplier management, category strategy development, sourcing activities, and AI-enabled process improvements while partnering with procurement professionals and business partners worldwide. Responsibilities Support category management and strategic sourcing activities through market research, supplier analysis, benchmarking, and category strategy development. Assist with cost analysis, should-cost modeling, and market intelligence activities to identify savings opportunities and support business decisions. Collaborate with Category Managers, suppliers, and internal partners to support procurement objectives and supplier relationship management efforts. Analyze sourcing trends, supplier performance, and procurement metrics to develop recommendations and drive continuous improvement initiatives. Support AI adoption initiatives by identifying u