27 Research jobs

About the Team The post-training team is responsible for training and improving the pre-trained models to be deployed into ChatGPT, the API, and to other internal research teams. Within post-training, the retrieval team develops retrieval technology to power ChatGPT and new product experiences built on OpenAI's reasoning models. About the Role We are seeking a research tech lead / manager (TLM) for the post-training retrieval team to lead a team of researchers and research engineers. The focus of this team is to develop technology that allows our models to efficiently and accurately access information from private knowledge sources. This technology will be used in many frontier models and applications across our Research organization. This is not just a RAG implementation role. Our team's goal is to rethink the way retrieval can work for agentic AI systems from first principles. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per...

About the Team The post-training team is responsible for training and improving the pre-trained models to be deployed into ChatGPT, the API, and to other internal research teams. Within post-training, the retrieval team develops retrieval technology to power ChatGPT and new product experiences built on OpenAI's reasoning models. About the Role As a Research Engineer / Scientist, you will research and develop improvements to our models. Our team works in research areas combining LLMs, retrieval, reinforcement learning, and deep learning. This is not just a RAG implementation role. Our team's goal is to rethink the way information retrieval can work for agentic AI systems from first principles. We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models, specifically for our retrieval team. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer...

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 The Perception team is responsible for the "perception" capabilities in all flagship models like GPT-4o, enabling them to understand the world beyond text inputs and to predict or act with human-level accuracy. Our goal is to advance the frontier of perception through rigorous scientific research and high-performance engineering, accelerating the development of safe and beneficial AGI. About the Role We're looking for Research Engineers and/or Research Scientists to help shape the frontiers of multimodal research. For Research Engineers, we are seeking candidates who will excel in fast-paced environments and deliver results with precision and finesse. The ideal candidate will be someone who's passionate about exploring new technologies, navigating complex and impactful problems, and building high-performance infrastructures. For Research Scientists, we are looking for people who are passionate about employing scientific methods to study and understand deep...

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 Post-Training team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment to millions of users, ensuring that our models are safe, efficient, and reliable. About the Role As a Research Engineer / Scientist, you will research and develop improvements to our models. Our team works in research areas combining reinforcement learning and products. We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product-driven research. 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...

About the Team The Platform Runtime team builds core components to enable productive research from small to state of the art scale across OpenAI, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams across all of research to speed up the development of new state-of-the-art capabilities. About the Role In this role, you will serve as a technical lead and manager for our Developer Productivity team. As we scale up with more researchers and engineers joining OpenAI, we seek a pragmatic and passionate TLM with a strong focus on the development experience for both engineers and scientists. In this role, you will be responsible for overseeing the building and maintaining systems that allow our research + engineering organization to iteratively develop and test new features reliably, with high velocity, and with a frictionless and fast development cycle. You will help oversee and drive to the vision of how we should build, test and deploy...

About the Team OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-4, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams. We work with AI trainers to gather specialized data for training and evaluating our models across modalities such as video, audio, text, and tool actions. Our goal is to develop scalable methods, tools, and platforms to generate and evaluate high-quality data from both synthetic sources and human experts in various fields, including mathematics, sciences, creative writing, programming, art, and safety. We leverage OpenAI models to improve and streamline our data collection and quality processes. About the Role In this role, you will work side by side with research teams to iteratively design and evaluate new methods for collecting high quality human data. You'll use your...

About the Team The Alignment team at OpenAI is dedicated to ensuring that our AI systems are safe, trustworthy, and consistently aligned with human values, even as they scale in complexity and capability. Our work is at the cutting edge of AI research, focusing on developing methodologies that enable AI to robustly follow human intent across a wide range of scenarios, including those that are adversarial or high-stakes. We concentrate on the most pressing challenges, ensuring our work addresses areas where AI could have the most significant consequences. By focusing on risks that we can quantify and where our efforts can make a tangible difference, we aim to ensure that our models are ready for the complex, real-world environments in which they will be deployed. The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing...

About the Team The Alignment team at OpenAI is dedicated to ensuring that our AI systems are safe, trustworthy, and consistently aligned with human values, even as they scale in complexity and capability. Our work is at the cutting edge of AI research, focusing on developing methodologies that enable AI to robustly follow human intent across a wide range of scenarios, including those that are adversarial or high-stakes. We concentrate on the most pressing challenges, ensuring our work addresses areas where AI could have the most significant consequences. By focusing on risks that we can quantify and where our efforts can make a tangible difference, we aim to ensure that our models are ready for the complex, real-world environments in which they will be deployed. The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing...

About the Team Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics. The Research Platform team builds robust and scalable software to support our research efforts. It also offers core development services for mission critical goals and applications. We're forming a new team to work with our partners on hardware optimization and co-design, and are looking for founding engineers. This team will be responsible for working with partners to optimize their hardware for our workloads, identifying promising new deep learning accelerators, and bringing those hardware platforms to production. About the Role As an Engineer on our Hardware Team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and...

About the Team Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics. The Research Platform team builds robust and scalable software to support our research efforts. It also offers core development services for mission critical goals and applications. We're forming a new team to work with our partners on hardware optimization and co-design, and are looking for founding engineers. This team will be responsible for working with partners to optimize their hardware for our workloads, identifying promising new deep learning accelerators, and bringing those hardware platforms to production. About the Role As an Engineer on our Hardware Team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and...

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 committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for 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 highly motivated Postdoctoral Researcher to join our team in the field of structural vaccinology and computational immunology. The successful candidate will work at the nexus of...

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 committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is important for continued success of the Laboratory's mission. Pay $118,884 Annually Job Description We have an opening for a Postdoctoral Researcher to conduct computational research in the area of mesoscopic modeling of interface thermodynamics and kinetics, as well as associated microstructure evolution of materials, focusing on 1) microstructure-aware interface formation mechanisms and 2) microstructure-aware interface degradation...

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 committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for 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...

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. Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models. Specifically, the mission of the Preparedness team is to: Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic (not necessarily existential) to our society; and Ensure we have concrete procedures,...

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 committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory's mission. Pay Range $168,780 - $214,032 Annually for the SES.3 level $202,500 - $256,824 Annually for the SES.4 level 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...

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 committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory's mission. Pay Range $117,180 - $148,608 Annually for the SES.1 level $140,700 - $178,392 Annually for the SES.2 level 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...

About the Team The Agent Infrastructure team at OpenAI designs robust and secure systems that power the training and advanced use cases of next-gen AI models at OpenAI. Our systems are a key component of the infrastructure that makes advanced reasoning models like OpenAI's o1 models possible, and we work hand-in-hand with researchers to train these advanced models. More advanced reasoning models have the capacity to solve hard problems, and our team is also building the platform on which AI models are able to interact with the world and perform actions. We develop secure environments that allow AI models to write and execute code in secure environments, empowering the next significant milestone in AGI development: The deployment of advanced AI agents. About the Role On the Agent Infrastructure team, you will play a crucial role in designing and maintaining robust and secure systems that facilitate the training of next-gen AI models at a massive scale. You will work closely...