At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most.
Requirements
- BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
- 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
- Strong experience with model distillation or teacher-student training
- Proven experience with reinforcement learning in production or research settings
- Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)
- Strong software engineering fundamentals: testing, CI/CD, containerization, and system design
- Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference
- Demonstrated ability to ship production-grade ML systems and mentor team members
Benefits
- Medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more