Senior Machine Learning Engineer-Trajectory Generation

Summary

Join Motional as a Senior Machine Learning Engineer to develop and optimize cutting-edge deep learning models for autonomous driving. You will design, implement, and deploy machine learning systems for real-time trajectory generation in autonomous vehicles, tackling challenging planning and control problems in resource-constrained environments. This role requires expertise in trajectory optimization, reinforcement learning, and imitation learning, along with proficiency in C++ and Python. The ideal candidate will have a Master's or Ph.D. in a related field and 4+ years of experience in designing, training, and deploying ML models. Motional offers a competitive salary and benefits package, including medical, dental, vision, 401k, and more. The company is committed to creating a diverse and inclusive work environment.

Requirements

• Master’s or Ph.D. in Robotics, Computer Engineering, or a related field
• Proficiency in both C++ and Python
• Strong understanding of trajectory optimization, reinforcement learning algorithms and imitation learning
• 4+ years of experience in designing, training, and deploying ML models
• Self-motivated with strong problem-solving skills
• Eager to stay current with emerging technologies and committed to continuous learning
• Conference or Journal publications in Machine Learning or Robotics-related venues

Responsibilities

• Research, design, implement, optimize and deploy deep learning models that advance the state of the art in data-driven control algorithms for trajectory and path generation
• Designing reward functions to improve vehicle behavior
• Developing tools and metrics to analyze system errors and measure performance improvements
• Optimizing model and system performance for real-time inference
• Participating in code and design reviews

Preferred Qualifications

• Experience with autonomous driving applications in areas such as perception, prediction, planning, or simulation
• Experience with CUDA and inference optimization for real-time systems
• Publications in reinforcement learning (RL), inverse reinforcement learning (IRL), optimal control, or robotics

Benefits

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