Staff Machine Learning Engineer

Research and develop algorithms for reinforcement learning based methods for planning.

Design efficient model architectures that can run in real-time on the computing platform of our vehicles.

Develop offline data-driven ML infrastructure for fast adaptation of the planning ML models.

Deliver on target planning SW and closely work with the perception team to achieve the most intelligent autonomous driving systems.

Education in Engineering, Robotics, Computer Science with a focus on Reinforcement Learning, Artificial Intelligence, or a related field, or equivalent experience.

Strong experience in applied reinforcement learning including model architecture design, model training, data mining, and data analytics.

Strong Python programming experience with software design skills.

Solid understanding of data structures, algorithms, code optimization and large-scale data processing.