Waabi Innovation

Senior / Staff Machine Learning Engineer, Vehicle Dynamics

Waabi Innovation · Remote (US)
Remote (US) Remote $241K–$320K Posted 2026-09-03
Salary
$241K–$320K
Type
Full-time
Experience
4+ yr

You Will…
Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.
Develop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop simulation.
Apply machine learning to improve how the controller adapts across vehicles and operating conditions.
Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
Own problems end to end, from conceptualization and offline experimentation through simulation and on-vehicle validation.
Build the data pipelines, evaluation metrics, and tooling needed to measure whether a learned approach outperforms the classical baseline.
Participate and share ideas in technical and architecture discussions, helping define how learning and classical control coexist in a safety-critical stack.
Qualifications:
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.

PythonPyTorchC++
$100K — 10th pctl $275K — 90th pctl
This role’s midpoint $280K vs. market median $180K for Data & ML roles
+55%
above median
Based on 2,500+ Data & ML roles with disclosed salary ranges tracked on NewJob.
Waabi Innovation

Waabi Innovation

Autonomous Vehicles · Series C · Toronto, Canada

Stage & Valuation
Series C · $3B
Key Investors
Khosla Ventures, G2 Venture Partners, Volvo Group Venture Capital
Open roles on NewJob
Most hiring in
Engineering (33) · Data & ML (7) · Operations (6)
Waabi Innovation Inc. develops autonomous driving technology and physical artificial intelligence systems for the transportation sector, focusing on commercial trucks and robotaxis.
Autonomous Vehicles AI Transportation
O
Hardware-in-the-Loop (HIL) Team Lead
Pittsburgh, PA Hybrid
Operations
E
Senior / Staff Software Engineer, AI Tooling
Toronto, Canada Hybrid
Engineering
$165K–$265K
O
Electrical Distribution System (EDS) Technician
Pittsburgh, PA
Operations
See all 10+ roles at Waabi Innovation →
W
Staff / Senior Machine Learning Engineer, AV Core
Wayve Technologies Sunnyvale, CA
Data & ML
A
Senior Staff Machine Learning Engineer, Trust
Airbnb Remote (US) Remote
Data & ML
$244K–$305K
L
Senior / Staff Machine Learning Engineer, Applied AI
Lila Sciences Cambridge, MA
Data & ML
$180K–$298K
D
Senior Staff Machine Learning Engineer
DoorDash San Francisco, CA
Data & ML
$242K–$357K
See all Data & ML roles →

Interested in this role?

Apply directly on the company site — no recruiter middleman, no account required.

Apply now →
Apply on company site