Waabi
Senior / Staff Machine Learning Engineer, Vehicle Dynamics
$241K–$320K
Remote US & Canada +5 · Hybrid · Staff · Full-time · Posted Sep 3, 2026
- Location
- Remote US & Canada
Toronto, ON
San Francisco, CA
Pittsburgh, PA
Phoenix, AZ
Dallas, TX - Experience
- Minimum of 4 years of industry experience for candidates with a Bachelor’s degree; no specific minimum stated for MS/PhD candidates.
- Education
- MS/PhD or Bachelor’s degree in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science, and/or similar technical field(s) of study.
About the job
Develop and validate machine-learned vehicle dynamics and control approaches for safe self-driving, from experimentation through simulation and on-vehicle testing.
What you'll do
- Develop learned vehicle behavior and dynamics models and integrate them into closed-loop simulation.
- Apply machine learning to improve controller adaptation across vehicles and operating conditions; build evaluation pipelines and tools to compare with classical baselines.
- Own work from conceptualization through offline experimentation, simulation, and on-vehicle validation, and contribute to technical and architecture discussions.
What they ask for
- MS/PhD or Bachelor’s degree with at least 4 years of industry experience in a relevant technical field.
- Demonstrated depth in control theory and dynamic systems.
- Hands-on experience applying machine learning to a physical system with real hardware in the loop.
- Production-quality Python and C++ skills; experience with deep learning frameworks such as PyTorch.
Pay
$241,000 - $320,000 USD yearly base salary
Tools
Python, C++, PyTorch, MPC
AI focus
Apply machine learning to vehicle control and dynamics, improve controller adaptation, and integrate learned models into simulation and a safety-critical self-driving system.
Model-written summary · the original posting is authoritative