20 research engineer scientist jobs found in San Francisco, CA

About the Team The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Research Engineer/Scientist on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. In this role you will: Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices. Develop novel architectures that improve model performance when scaling the models themselves is not an option. Run through the necessary walls to take nascent research capabilities and...

About the Team The Future of Computing Research team is an applied research team within the Consumer Devices group focused on developing new methods, models, and evaluation frameworks that support our vision for the future of computing. We work at the frontier of multimodal AI, helping turn emerging model capabilities into product experiences that are useful, delightful, and worthy of long-term trust. Our work explores a new class of AI systems that can learn over time, adapt to individuals, and support people in the flow of daily life. This includes long-term memory, user modeling, and personalization systems that are aligned not just with immediate satisfaction, but with a person's broader goals, values, and well-being. We work closely across research, engineering, design, product, and safety to define what it means to build AI systems that know you over time, act at the right moment, and help in ways that are context-aware, respectful, and demonstrably beneficial. About...

About the Team The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models to support our vision for the future of computing as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Research Engineer/Scientist on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. In this role you will: Train and evaluate SoTA models along axis that are important to our vision for future devices. Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of. Help define how software works for decades...

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role. You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate...

About the Team The User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s breakneck shipping cadence and growth—and the expectation that it will only accelerate—transforming our rich support data into real‑time insights and scalable, self‑serve analytics is critical to sustaining exceptional customer experiences on the path to AGI. About the Role We’re seeking a Support Data Scientist who will dig deep into user‑support data—surfacing trends, volumes, and friction signals—and...

About the Team OpenAI's mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab to accomplish it. OpenAI's Go-To-Market (GTM) Partnerships team builds a strategic, global partner ecosystem designed to accelerate customer success, enable AI adoption, and drive growth in support of our mission. We collaborate closely across internal teams to ensure unified strategy and seamless execution. About the Role As part of the Partner Strategy, Operations & Programs team, this role will help stand up and scale our cloud GTM motion globally. You will shape how we operationalize cloud co-sell and marketplace motions, translate partnership goals into clear workflows and rules of engagement, drive the cross-functional orchestration required to stand up new ways of working, and drive disciplined execution through a global team of...

About the team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role OpenAI is seeking a highly motivated and experienced Account Director to join our Startups Go To Market team. You will play a critical role in owning relationships with top startup customers and supporting them in building successfully on the OpenAI platform. We believe that many of the most disruptive and category-defining AI applications...

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. Learn more about OpenAI's approach to safety About the Role As a Data Scientist in Safety Systems, you will establish the data-driven approach for understanding, evaluating, and monitoring the safety of our production systems. You should expect to collaborate with our partners across the company to define north-star metrics, own and implement the statistical methods to productionize those metrics, conduct analysis to understand the impact of our products, and establish source-of-truth dashboards that the entire company can use to...

About the Team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL• E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth. The Scaled Abuse team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a data scientist with anti fraud & abuse experience to help architect and build our next-generation anti-abuse systems. About the Role The Platform Abuse team protects OpenAI's products from abuse. In the data scientist role, you will be...

About the Team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. The OpenAI Education team partners with educators, educational institutions, and countries to shape how AI can be used to advance learning, accelerate research, and enable the next generation to build the skills and capabilities needed for a rapidly changing world. We aim to deliver measurable gains in cognition and achievement, partnering closely with educators, students, and adult learners to develop products and programs that are safe, trusted, and impactful. About the Role As Head of Education, Enterprise, you will own and scale OpenAI's Enterprise Education vertical. You will set the enterprise strategy with a cross-functional team, define the products and solutions we bring to market, and work directly with...

About the Team The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology. About the Role As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You'll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We're looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained. This role is based in San Francisco, CA. We use a...

About OpenAI OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals together under one organization to accomplish this. We're building the most advanced AI models and platforms, making it easy for developers and customers to benefit from AI via our suite of products. OpenAI is expanding into consumer hardware to explore new human-computer interaction experiences. Success in hardware requires world-class financial stewardship across the entire product cost stack, from early design and sourcing decisions to scaled manufacturing and lifecycle cost optimization. About the Team The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role We are...

About the Team The Research team at OpenAI advances the frontier of artificial intelligence by developing new models, algorithms, and learning paradigms that push toward safe and beneficial AGI. Our researchers work across a wide range of domains including multimodal learning, reasoning, robotics, alignment, and large-scale foundation models, collaborating closely with engineering and product teams to translate research breakthroughs into real-world impact. About the Role As a Research Scientist at OpenAI, you will develop novel machine learning methods and contribute to advancing the research agenda of the team you join. You will work on discovering simple, scalable, and generalizable ideas that improve model capabilities and help shape a unified long-term research vision across the organization. We're looking for people who are excited to pursue ambitious research problems, operate independently, and collaborate deeply with interdisciplinary teams to bring cutting-edge...

About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: Challenging work with amazing impact that contributes to security, peace, and freedom worldwide Extraordinary co-workers Some of the best tools, equipment, and research facilities in the world Career advancement and enrichment opportunities Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies....

About the Company Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy. At DatologyAI, we've built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models. We raised a total of...

About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: Challenging work with amazing impact that contributes to security, peace, and freedom worldwide Extraordinary co-workers Some of the best tools, equipment, and research facilities in the world Career advancement and enrichment opportunities Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies....

About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: Challenging work with amazing impact that contributes to security, peace, and freedom worldwide Extraordinary co-workers Some of the best tools, equipment, and research facilities in the world Career advancement and enrichment opportunities Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies....

BOUNTY DESCRIPTION  Industry: Financial Services Job Category: Information Technology - Developer Summary: We are seeking a highly skilled and motivated Generative AI Engineer with at least two years of experience in the field of artificial intelligence. The ideal candidate should have a solid background in machine learning, natural language processing, computer vision, and deep learning, along with a strong passion for pushing the boundaries of AI research and development. Key Responsibilities: AI Solution Development: Design, develop, and optimize advanced AI models and algorithms to solve complex business problems across various domains such as natural language processing, Gen AI components, computer vision, recommendation systems, and reinforcement learning. Data Preprocessing and Analysis: Work with large-scale datasets, preprocess the data, and perform in-depth analysis to derive meaningful insights, patterns, and trends for AI model training. Model...

Berkeley Lab's (LBNL) Joint Genome Institute (JGI) has an opening for a Senior Scientific Data Platform Engineer to play a critical role in transforming raw scientific outputs into high-value, AI-ready data assets that directly support JGI's mission. In this exciting role, you will analyze scientific use-cases, data management challenges, and design robust, automated, and cost-effective solutions to address them. Working at the intersection of scientific data and the data lakehouse platform, this position will contribute to the development and maintenance of JGI's Data Lakehouse effort, leading ongoing integration efforts to ensure scientific data is well-structured, accessible, and optimized for use by domain scientists and downstream AI applications. The JGI's mission is to provide the global research community with access to the most advanced integrative genome science capabilities in support of the DOEs research mission to solve the world's evolving energy and environmental...

Lawrence Berkeley National Laboratory is hiring a Computational Research Scientist within the Building and Industrial Energy Systems Division. The Computational Research Scientist will conduct research, develop and apply AI technologies to support design, operation, and retrofit of buildings for optimal performance of energy efficiency, demand flexibility, and occupant comfort. Current research in LBNL's Building and Industrial Energy Systems Division includes the development and application of building energy simulation, research on building controls, performance monitoring, window systems, high performance facades, management of peak electricity demand, and benchmarking of building energy performance. The incumbent will focus on research and application of advanced AI methods and tools to automate building energy modeling, develop digital twins of buildings, prototype robotic technologies for HVAC systems in buildings, as well as collaborate with BIES staff on related projects....