ML Research Scientist, Prediction & Smart Agents

Highlights

• Predict surrounding traffic behavior for onboard planning and simulation.
• Build smart controllable agents enabling closed-loop training in simulation.
• See prediction systems deployed on real-world autonomous vehicles.

What they offer

• Annual performance bonus
• Equity
• Competitive benefits package

Ideal candidate

Research-minded ML scientist with deployment experience who loves tackling interactive real-world driving problems and collaborating across teams to get models onto real robots.

Requirements

• M.Sc. or Ph.D. in Computer Science, AI, Mathematics or related field
• 2+ years deploying ML systems onboard, ideally in prediction
• Strong Python programming and PyTorch; C++ beneficial
• Research experience in prediction, imitation learning, reinforcement learning or generative modeling
• Publications in top conferences e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA, IROS
• Strong collaboration skills and team player