Senior Machine Learning Engineer- Trajectory Generation

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107d • $168,000 - $225,000

About The Position

We are looking for a Senior Machine Learning Engineer to develop and optimize deep learning models that advance the state of the art in data-driven planning and control for autonomous driving. You will design, implement, and deploy machine learning systems for real-time trajectory generation in autonomous vehicles. This role involves solving challenging planning and control problems in resource-constrained, on-vehicle environments.

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

Nice To Haves

• 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

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.

Benefits

• medical
• dental
• vision
• 401k with a company match
• health saving accounts
• life insurance
• pet insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees