Currently tracking 23 active AI roles, with 59 new openings in the last 4 weeks. Primary focus: Serve · Engineering. Salary range $20k–$435k (avg $248k).
| Title | Stage | AI score |
|---|---|---|
| Reinforcement Learning Engineer, Policy, Optimus Develop and deploy end-to-end robotic learning systems (reinforcement/imitation learning) for humanoid robots, focusing on complex physical tasks, locomotion, manipulation, and language-conditioned tasks from vision. Ship production-quality, safety-critical software utilized by thousands of robots. | ShipData | 9 |
| AI Engineer, Geometric Vision, Tesla AI AI Engineer focused on 3D perception and world models for autonomous vehicles and robots, involving foundation models, data generation, and deployment at scale. | ShipData | 9 |
| Reinforcement Learning Engineer, Self-Driving This role focuses on building foundation models for robotics using reinforcement learning, generative modeling, and imitation learning to create an end-to-end self-driving system. The engineer will leverage large-scale driving data and integrate directly with vehicle firmware to ship safety-critical software to millions of customers. |
| ShipData |
| 9 |
| AI Engineer, Manipulation, Optimus AI Engineer focused on the manipulation stack for humanoid robots (Optimus). The role involves designing, developing, and deploying learned robotic manipulation software and algorithms, including grasping, pick-and-place, and dexterous behaviors. It requires experience in deep imitation learning or reinforcement learning, training and deploying real-world neural networks, and working with C++/Python, robotics, and 3D computer vision. | ShipData | 8 |
