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Open nowPosted 70 days ago

Senior / Staff Machine Learning Engineer, Vehicle Dynamics

Waabi86 open roles

Pay
$241,000 – $320,000 a year
Where
Remote US & Canada
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Your applicationOpen nowSenior / Staff Machine Learning Engineer, Vehicle DynamicsWaabi · Remote US & Canada

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Waabi postings stay open a median of 30 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 70 days ago

Waabi median: 30 days open

The posting

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.

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