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Director, Prediction and ML Planning

1 hour, 3 minutes ago
United States
Full-time
Executive
Machine Learning Engineer
Artificial Intelligence and Machine Learning
LLM Machine Learning Reinforcement Learning
Apply Now
Motional

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
1K-5K
Founded 2020
$20M raised
View All Jobs 74

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

Apply Now

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