5 deployment engineer jobs found in San Mateo, CA

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing toward AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role As a SLAM / Multi-View Geometry Engineer on the Robotics team, you will develop systems that enable robots to perceive, track, and reconstruct the world in 3D from multi-camera and multimodal sensor data. You will work on real-time and offline SLAM pipelines used during teleoperation and robot data collection, as well as scalable systems for reconstructing and tracking 3D structure from large datasets. We're looking for people who combine strong fundamentals in computer vision with practical experience building robust perception systems. The ideal...

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 the Team OpenAI Labs explores the edges of what's possible with AI. We start from the latest breakthroughs - or overlooked research with untapped potential - and expand their capabilities by prototyping entirely new ways for people to benefit from AI. About the Role As a Full-Stack Software Engineer on the Labs team, you will create new ways for people to interact with AI. Your work will begin as rapid internal experiments: prototypes built to explore surprising capabilities or novel interfaces. Some will spark entirely new products or research directions, shaping how millions of people experience AI. Across projects, you'll ship these ideas internally, learn from how people use them, and - if they prove promising - hand them off to product teams to take forward before moving on to the next frontier. Sometimes you'll start by playing with a researcher's early demo, identify emerging behaviors, and push on them in collaboration with researchers. Other times, you'll...

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 As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You'll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for Sora's rapid iteration cycles. We're looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. 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 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...