Senior / Staff Machine Learning Engineer, Vehicle Dynamics

• MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science and/or similar technical field(s) of study.
• Demonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state estimation, system identification, kinematic and dynamic vehicle modeling).
• Hands-on experience applying machine learning to a physical system, with real hardware in the loop rather than simulation alone.
• Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.
• Solid problem solving skills using linear algebra, optimization, statistics & probability.
• Ability to rapidly prototype and test new algorithms, and to design the experiments that prove whether they work.
• Open-minded and collaborative team player with the willingness to help others.
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

The US yearly salary range for this role is: $241,000 - $320,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.