Machine Learning Research Scientist, Behavior Planning and Prediction
Develops scalable ML-based planning and prediction systems for autonomous driving trajectories. Requires expertise in sequential decision making, deep RL, imitation learning, generative modeling, and robotics; M.Sc./Ph.D. preferred with top conference publications.
About the job
About the Work
- Work on scalable machine learning based planning and prediction systems to generate safe and feasible trajectories for autonomous driving.
- Research generative sequence modeling and sequential decision making.
- Nice to have: Embodied AI for robotics, Causal reasoning, Model interpretability and explainability, Joint prediction and planning.
- Mitigate uncertainties accumulated through interconnected autonomy components.
- Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges. Understand issues, propose ideas, prioritize work and develop solutions to solve them.
- Derive practical solutions and deploy them on real-world vehicles.
About You
- Deep expertise and prior experience in: sequential decision making, Imitation Learning, Deep Reinforcement Learning, generative modeling, large models (pretraining/finetuning), machine learning for robotics.
- M.Sc. or Ph.D. (preferable) focusing on Computer Science, Artificial Intelligence, Mathematics, or a closely related field.
- Strong problem solving and programming skills in Python (required) and C++ (beneficial).
- Strong culture fit and good team player.
- Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA).
Compensation
Base pay range: $160,360 - $240,540/year. Eligible for annual performance bonus, equity, and competitive benefits package.
Skills
Python, C++, Deep Reinforcement Learning, Imitation Learning, Generative Modeling, Sequential Decision Making, Machine Learning For Robotics, Self-Supervised Learning, Trajectory Prediction, Motion Planning
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