Required Qualifications
- PhD or MS degree in Computer Science, Machine Learning, Robotics, or equivalent technical discipline
- Deep expertise in machine learning fundamentals, reinforcement learning, and associated
frameworks (PyTorch, TensorFlow, Ray, etc.)
- 3+ years of proven track record developing and deploying ML systems from research through production implementation
- Hands-on experience with model lifecycle management including training, deployment, and maintenance in production settings
Preferred Qualifications
- Authored or co-authored peer-reviewed publications in robotics or related fields
- Hands-on experience designing and implementing bimanual manipulation tech stacks
with imitation learning or RL-based methods
- Background in real-time ML inference systems, simulation-to-reality transfer, or advanced
reinforcement learning implementations
Benefits
- We support publishing at top robotics/ML venues and presenting at conferences (travel + time fully covered).
- Medical, dental & vision plans
- Daily meals stipend
