Motional

Motional is a leading company in driverless technology and autonomous vehicles, leveraging decades of industry expertise to develop and deploy safe and reliable autonomous vehicles. With a powerful DNA combining Aptiv's automotive technology and Hyunda...

Automotive

Consumer Discretionary

1K-5K (1341)

Founded 2020

$20M raised

44 open positions

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Director, Prediction and ML Planning

1 month, 3 weeks ago

United States

Full-time

Executive

Machine Learning Engineer

Artificial Intelligence and Machine Learning

LLM Machine Learning Reinforcement Learning

Apply Now

Motional

Automotive

1K-5K

Founded 2020

$20M raised

View All Jobs 44

Description

Lead and unify the machine learning-based Prediction and Motion Planning teams.
Set the technical roadmap for a next-generation behavior stack and a unified Large Driving Model.
Drive research and development in imitation learning and reinforcement learning for end-to-end learned planning.
Explore and incorporate multimodal Vision-Language-Action models to improve semantic understanding, reasoning, and generalization.
Lead, mentor, and scale multiple sub-teams of machine learning engineers and researchers.
Implement sustainable engineering practices that support team well-being, psychological safety, and high technical velocity.
Partner with Perception, Infrastructure, and Systems Engineering to integrate models onto the vehicle platform.
Ensure the system meets rigorous safety and real-time performance standards.

Requirements

5+ years of experience managing high-performing engineering teams.
At least 3+ years of experience managing multiple sub-teams within an autonomous systems, robotics, or advanced AI organization.
Demonstrated track record of growing an engineering organization sustainably while balancing technical debt, scalability, and team well-being.
Deep theoretical and practical proficiency in machine learning applied to robotics behaviors.
Advanced expertise in imitation learning and reinforcement learning for decision-making.
Strong understanding of the full lifecycle from research to vehicle deployment.
Proven experience guiding teams toward integrated models rather than decoupled, sequential pipelines.
Strong familiarity with multimodal foundational AI models, specifically Vision-Language-Action models (VLAs).
M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related quantitative field with a heavy focus on machine learning.
Experience building and scaling LLMs, VLMs, or VLAs and deploying them to production, preferred.
A strong footprint in the AI/robotics research community, with publications in CVPR, ICCV, NeurIPS, ICRA, or IROS preferred.
Experience building large-scale data pipelines and training infrastructure for large driving models, preferred.

Benefits

Salary range of $288,000 to $396,000 USD base salary.
Additional compensation may include a bonus or company equity.
Hybrid schedule with in-office time in Boston or Pittsburgh, or fully remote work.
Medical, dental, and vision insurance.
401(k) with company match.
Health savings accounts.
Life insurance.
Pet insurance.

Interested in this position?

Apply directly on the company website

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