Motional is hiring a Machine Learning Integration Engineer

Motional is looking for a Machine Learning Integration Engineer to deploy, optimize, and maintain ML-driven planning and control algorithms for real-time autonomous driving. You will bridge advanced machine learning with safety-critical, resource-constrained vehicle platforms, working within a mission-driven company building safe and transformative mobility solutions.

What You'll Do

• Deploy ML-based motion planning and control models onto vehicle platforms, ensuring performance under resource constraints.
• Optimize models for inference speed, latency, and memory footprint without sacrificing accuracy or safety.
• Collaborate with motion planning, controls, and perception teams to integrate ML components into the end-to-end autonomous driving stack.
• Build scalable deployment infrastructure including evaluation pipelines, model packaging, benchmarking, and automated validation.
• Validate model performance in both simulation and on-road testing, analyzing results and driving iterative improvements.
• Maintain production-quality code in C++ and Python.

What We're Looking For

• BS/MS/PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• Experience deploying ML systems in real-world robotics, embedded, or autonomous platforms.
• Experience with reinforcement learning.
• Strong software engineering skills in C++ and Python, with knowledge of modern development practices.
• Hands-on experience with ML frameworks (PyTorch, TensorFlow) and model optimization for deployment.
• Familiarity with GPU acceleration, or inference optimization (e.g., TensorRT, CUDA).
• Strong problem-solving skills and ability to debug complex systems under production constraints.

Nice to Have

• Experience with autonomous vehicle motion planning, control algorithms (MPC, LQR, PID), or reinforcement learning–based methods.
• Publications in relevant ML or robotics conferences (ICRA, NeurIPS, CoRL, RSS, etc.).
• Experience with ROS, AUTOSAR, or other real-time robotics frameworks.
• Knowledge of numerical optimization and its applications in trajectory generation.

Technical Stack

• C++, Python
• PyTorch, TensorFlow
• CUDA, TensorRT

Team & Environment

You will collaborate across motion planning, controls, and software engineering teams within a highly collaborative environment of ML researchers, software engineers, and controls experts.

Benefits & Compensation

• Compensation: $142,000—$225,000 USD + company equity.
• Medical, dental, vision insurance.
• 401k with company match.
• Health saving accounts.
• Life insurance.
• Pet insurance.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees.