Machine Learning Engineer • Senior

Who you are

You have a strong background in deploying machine learning systems, particularly in real-world robotics or autonomous platforms. Your experience includes optimizing models for performance under strict resource constraints, ensuring that safety and accuracy are never compromised. You possess a solid understanding of reinforcement learning and have a proven track record of collaborating with cross-functional teams, including motion planning, controls, and software engineering.

Your technical skills are robust, particularly in C++ and Python, allowing you to maintain production-quality code effectively. You are comfortable working in a fast-paced environment where you can bridge advanced machine learning techniques with safety-critical applications. You thrive on challenges and are excited about shaping the future of autonomy in vehicles.

Desirable

A BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field is preferred. Experience with deploying ML systems in embedded environments is a plus, as is familiarity with real-time systems and performance optimization techniques.

What you'll do

In this role, you will deploy machine learning-based motion planning and control models onto vehicle platforms, ensuring they perform optimally under resource constraints. You will be responsible for optimizing models for inference speed, latency, and memory footprint while maintaining high standards of accuracy and safety. Collaboration is key; you will work closely with teams focused on motion planning, controls, and perception to integrate ML components into the end-to-end autonomous driving stack.

You will also build scalable deployment infrastructure, which includes creating evaluation pipelines, model packaging, benchmarking, and automated validation processes. Validating model performance will be a critical part of your responsibilities, requiring you to analyze results from both simulation and on-road testing, driving iterative improvements based on your findings.

Maintaining production-quality code is essential, and you will leverage your expertise in C++ and Python to ensure that the codebase remains robust and efficient. Your contributions will directly impact the reliability and safety of autonomous driving technologies, making your role vital to the success of the team and the company.

What we offer

Motional provides a collaborative and inclusive work environment where innovation thrives. You will have the opportunity to work on cutting-edge technology that is shaping the future of transportation. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to revolutionize mobility through autonomous driving solutions.