Base: $212,000—$283,000 usd; bonus/equity: not spe...
Remote
Machine learning models for agent navigation
Behavior models for self-driving vehicles
Deep learning frameworks (tensorflow/pytorch)
Motional is seeking a Principal Engineer and Team Lead for their Behaviors team, focused on advancing Level 4 autonomous driving technology through machine learning. The ideal candidate will possess significant leadership experience and technical expertise in ML solutions for autonomous vehicles, alongside a passion for innovative challenges in the field
Job Summary
Develop ML models that learn how different agents navigate complex real-world traffic scenarios to set the behavior of self-driving vehicles and predict other agents' behavior.
Lead, manage, and grow a team of engineers while designing and implementing behavior models leveraging the latest advancements in machine learning.
Collaborate with perception, simulation, data platform, and integration teams to validate and enhance on-road performance of products.
Matching Summary
Match Score: 85
Motional is seeking a Principal Engineer and Team Lead for their Behaviors team, focused on advancing Level 4 autonomous driving technology through machine learning. The ideal candidate will possess significant leadership experience and technical expertise in ML solutions for autonomous vehicles, alongside a passion for innovative challenges in the field.
Salary
Base: $212,000—$283,000 USD; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401k with match, HSA, life insurance, pet insurance, and more
Skills & Requirements
Must-have
Machine learning models for agent navigation
Behavior models for self-driving vehicles
Deep learning frameworks (TensorFlow/PyTorch)
Python with scientific computing libraries
ML solutions for autonomous vehicles/robotics
Software engineering principles
Nice-to-have
Generative AI and reinforcement learning
Embedded systems and real-time optimization
Publications in relevant conferences
Strong C++ and/or CUDA programming skills
Key Requirements
Masters or Ph.D. in Computer Science or related field
Proven leadership skills in technical initiatives
Extensive experience managing and leading engineers
Experience deploying ML solutions for autonomous vehicles