Director, Prediction and ML Planning

🕒 May 27

🇺🇸 United States – Remote

💵 $288k - $396k / year

⏰ Full Time

🔴 Lead

👔 Director

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Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

🚗 Transport

🤖 Artificial Intelligence

Transport • Artificial Intelligence • Automotive

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

📋 Description

• Oversee and unify the machine learning-based Prediction and Motion Planning teams • Establish a clear technical roadmap transitioning toward a unified Large Driving Model performing joint prediction and planning • 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 that promote psychological safety and high technical velocity • Expected to publish work in conferences like CVPR, ICCV, ECCV, and Neurips • Partner closely with Perception, Infrastructure, and Systems Engineering to ensure integration onto the vehicle platform

🎯 Requirements

• 5+ years of experience managing high-performing engineering teams • 3+ years of experience managing multiple sub-teams within autonomous systems, robotics, or advanced AI organization • 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 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

🏖️ Benefits

• Medical • Dental • Vision • 401k with a company match • Health saving accounts • Life insurance • Pet insurance • Additional benefits may apply