Senior / Staff Machine Learning Engineer, Vehicle Dynamics
- Countries
- Hybrid, Remote, USA, Canada
- Job Types
- software & tech, operations
- Experience
- expert
- Organization Types
- transportation & mobility, robotics, startups
- Location
- San Francisco - Dallas - Pittsburgh - Phoenix - Toronto - Hybrid - Remote
- Posted Date
- Company
- Waabi
AI Summary
Job Description
Design and develop data-driven and machine-learned approaches for vehicle control problems. Integrate learned models of vehicle behavior into simulations. Apply machine learning to enhance controller adaptation across vehicles and conditions. Own problems from conceptualization to validation, building necessary data pipelines and tooling.
Hard Requirements
- MS/PhD or Bachelors degree with minimum 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science or similar
- 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
- Production-quality coding skill in Python and C++
- 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
- Ability to design experiments to prove algorithm effectiveness
Soft Requirements
- Open-minded and collaborative team player
- Willingness to help others
- Passionate about self-driving technologies
- Solving hard problems
- Creating innovative solutions