13 Research jobs

Company Description Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay Range $168,780 - $214,032 annually Job Description The Biosciences and Biotechnology Division within the Physical and Life Sciences Directorate LLNL is seeking to fill a position for a dedicated and hardworking Research Scientist with a background in cell biology with a cardiac focus, with demonstrated experience in advanced cellular and tissue models, toxicology, electrocardiography and in vivo assessments....

About the Team The Agents team within Research works in research areas combining language models, reinforcement learning, and agents. About the Role We're looking for Research Engineers / Scientists eager to advance the frontier of agent research. This role involves a full process from fundamental research to launching the research work as an agent product. 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: Own and pursue a research agenda to identify the weakness of the model and improve it Build robust evaluations for tracking modeling improvements. Design, implement, test, and debug code across our research stack. You might thrive in this role if you: Believe that having a solid evaluation is crucial for research projects to succeed Are excited about shipping the research work as a product Don't have biased opinions on what methodology...

About the Team The Deep Research team is responsible for building the models that power our Deep Research capability (see our research preview) and other future agentic offerings. Our team helps shape the direction of our agentic products and conducts fundamental research inspired by our product direction. About the Role As a Research Engineer / Scientist, you will do research and engineering work to improve our models. Potential research areas include: Working closely with product to identify new agentic capabilities, and developing methods to train these capabilities into the model Developing evals and datasets to assess and improve the model's performance on challenging or important tasks Pursuing algorithmic improvements to improve the intelligence of the model Developing new tools and training the model to use them We're looking for individuals with ML engineering skills, research experience, and an interest in building products. This role is based in San...

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 Trustworthy AI team works on action relevant or decision relevant research to ensure we shape A(G)I keeping societal impacts in mind. This includes work on full stack policy problems such as building methods for public inputs into model values and understanding impacts of anthropomorphism of AI. We aim to translate nebulous policy problems to be technically tractable and measurable. We then use this work to inform and build interventions that increase societal readiness for increasingly intelligent systems. Our team also works on external assurances for AI with an aim for increasing independent checks and forming additional layers of validation. About...

About the Team Our team builds the core infrastructure and tools that transform a large pre-trained model into a cutting-edge, user-friendly chatbot. By accelerating research and development, our infrastructure enables rapid improvements and frequent model releases. We collaborate closely with research teams within the post-training team and across the company, creating systems for training, evaluation, data management, and model behavior that push the boundaries of what's possible with ChatGPT. About the Role We are seeking engineers to build cutting-edge infrastructure and user-friendly tools that are foundational to the post-training phase of ChatGPT. You will work across the entire technology stack, including working on optimizing low level ML systems, job orchestration, data and eval management, etc. The ideal candidate possesses a strong technical background in areas such as data technologies, distributed systems, and reliable software development, with deep expertise...

About the Team Our team is dedicated to shaping the future of artificial intelligence by equipping ChatGPT with the ability to hear, see, speak, and create visually compelling images, transforming how people interact with AI in everyday life. We prioritize safety throughout the development process to ensure that our most advanced models can be safely deployed in real-world applications, ultimately benefiting society. This focus on safety is central to OpenAI's mission of building and deploying safe AGI, reinforcing our dedication to AI safety and promoting a culture of trust and transparency. About the Role We are seeking a research engineer to pioneer innovative techniques that redefine safety, enhancing the comprehension and capabilities of our state-of-the-art multimodal foundation models. In this role, you will conduct rigorous safety assessments and develop methods, such as safety reward models and multimodal classifiers, to ensure our models are intrinsically compliant...

About the Team The ChatGPT RLHF team is a specialized subteam within the Post-Training organization, focused on aligning ChatGPT models with user needs through Reinforcement Learning with Human Feedback (RLHF) and related approaches. Our mission is to make ChatGPT more helpful and personalized for users, creating a better experience by learning from large-scale feedback. The team develops the science of reward modeling, scales feedback-driven training, and ensures our models deliver both correctness and nuanced, human-preferred behavior. We collaborate closely with research, product, and applied teams to deliver measurable improvements in model quality and user experience. Our work directly impacts millions of users globally and contributes to OpenAI's mission of broadly distributing safe AI. About the Role As a Research Engineer or Scientist on the ChatGPT RLHF team, you will contribute to the development of advanced reward models and RL techniques to align ChatGPT models...

About the team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learning to build the science and engineering of impactful frontier model deployment. Put differently, we want to understand: if AGI is viewed as AI being able to majorly transform our economy, how close are we to AGI? What's still missing? How do we bridge these gaps? About the role We are hiring a Human-AI Collaborator to develop a hands-on understanding of how people and AI can work together most effectively. In this role, you will study real-world workflows, design new patterns of human-AI collaboration, and generate insights that inform how we build and deploy models. This role...

Company Description Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay $118,884 Annually Job Description NOTE: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years. We are seeking a dedicated and hardworking postdoctoral researcher to conduct research in the field of synthetic biology for biocontainment of genetically modified microorganisms. You will actively participate in research to develop biocontainment circuits in...

Company Description Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay Range $118,068 annually This position is under a step structure. Please note that the step is determined by your academic level. Transcripts are required. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee's position within the salary range will be based on several factors...

Company Description Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay $118,884 Annually Job Description NOTE: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years. We are seeking a dedicated and hardworking postdoctoral researcher to conduct research in the field of synthetic biology for biocontainment and sustained engineered function of genetically modified microorganisms. You will actively participate in research to...

About the Team The Sora team is pioneering multimodal capabilities for OpenAI's foundation models. We're a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit. About the Role We are seeking an experienced Full Stack Engineer to drive the development of our multimodal product features. In this role, you will collaborate closely with product managers, designers, researchers, and fellow engineers to translate cutting-edge research into scalable, impactful products. As we explore new frontiers in video-enabled AI and other modalities, you will build end-to-end solutions that define our product strategy and lay the foundations for these initiatives. We value engineers who take initiative, demonstrate strong product instincts, and maintain a user-centric focus throughout their work. In this role, you will: Design and develop...

The fleet team focuses on running the world's largest, most reliable, and frictionless GPU fleet to support OpenAI's general purpose model training and deployment. Work on this team ranges from Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades Supporting research workflows with service frameworks and deployment systems Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching Much more! About the Role As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world's largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's...