Director, Prediction and ML Planning

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Director of Prediction and ML Planning leading ML-based engineering teams in autonomous vehicle technology. Overseeing technical roadmap and organizational growth in a pioneering environment.

Posted 7/30/2026full-timeBoston • Massachusetts, Nevada, Pennsylvania • 🇺🇸 United StatesLead💰 $288,000 - $396,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in Imitation Learning and Reinforcement Learning, with a strong understanding of the full lifecycle from research to vehicle deployment. Proven ability to lead and mentor high-performing engineering teams within autonomous systems and robotics, while implementing sustainable engineering practices.

Highest-signal resume keywords

Machine Learning ManagementImitation Learning ExpertiseReinforcement Learning ExpertiseTeam LeadershipRobotics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningImitation LearningReinforcement LearningRoboticsAI ResearchModel IntegrationSustainable Engineering PracticesTechnical Roadmap DevelopmentMultimodal AI ModelsVision-Language-Action Models

Soft Skills

MentoringTeam BuildingCollaboration

Certifications & Qualifications

M.S. in Computer SciencePh.D. in Computer ScienceM.S. in RoboticsPh.D. in RoboticsM.S. in Electrical EngineeringPh.D. in Electrical Engineering

Industry Keywords

Autonomous SystemsAdvanced AIEngineering Organization GrowthAI Model DevelopmentVehicle Deployment

About the role

Key responsibilities & impact

Oversee and unify the machine learning-based Prediction and Motion Planning teams
Establish a clear, aggressive, yet sustainable technical roadmap
Stay at the absolute frontier of AI research
Define the technical roadmap for developing state-of-the-art imitation learning and reinforcement learning approaches
Lead, mentor, and scale multiple sub-teams of machine learning engineers and researchers
Implement sustainable engineering practices
Partner closely with Perception, Infrastructure and Systems Engineering

Requirements

What you’ll need

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
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 building integrated models
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 focus on Machine Learning

Benefits

Comp & perks

Medical
Dental
Vision
401k with a company match
Health saving accounts
Life insurance
Pet insurance