Imitation learning Jobs

NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group, focusing on learning embodied skills from large-scale human data. The objective is to develop AI systems that can capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters. This research spans the full stack, from reconstructing human motion and interactions from video to generating controllable character behaviors, transferring motion across embodiments, and training grounded controllers for robots and virtual characters. Interns will collaborate with a supportive research team producing influential work and have opportunities to connect with product teams across NVIDIA.

$0k - $0k

NVIDIA is seeking exceptional engineers to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. This role focuses on AI 2.0, leveraging LLMs, VLMs, and VLAs to enhance reasoning, planning, and interactivity in autonomous vehicles and robotics. You will be instrumental in building the future of autonomy by developing and integrating advanced AI models into mass-production vehicles.

$184k - $357k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI labs. As a Research Engineer on the Robotics team, you will develop datasets and evaluations crucial for training and assessing embodied AI systems. This role involves translating research needs into data specifications, creating methods for data validation, and conducting experiments to understand how data characteristics impact model performance. You will collaborate with internal research and engineering teams, and potentially with data vendors and buyers, to enhance robotics data offerings.

$100k - $230k

Applied Intuition is building a robot learning platform to enable any robot to learn industrial tasks and continuously improve. The robotics team develops this platform and uses it to deliver robot autonomy on customer lines, training, evaluating, and deploying policies on real robots performing industrial tasks. This role involves hands-on work with hardware, seeing your contributions reach customers, and working on manipulation policies from task definition to reliable execution on a physical robot. You will train and fine-tune policies, diagnose failures, and ensure their dependability for customer use, with success measured on the robot itself.

$150k - $300k