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$146,000 – $225,000
Listed on Motional’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the development and deployment of machine learning models that enable autonomous vehicles to understand driving scenes and plan safe trajectories. It suits experienced ML engineers who want to work on deep learning systems for real-world autonomous driving applications.
Our summary, not Motional’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- In-depth knowledge of ML and deep learning algorithms
- Experience designing and training neural networks for motion planning, object detection, sensor fusion, motion prediction, or multi-object tracking
- Strong track record solving poorly-defined problems and delivering results
- Advanced software engineering knowledge including design patterns, version control, build processes, code review, and testing
- PyTorch or other Python-based deep learning framework experience
- Experience with large datasets and data analysis
- Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or equivalent industry experience
- Mentoring and collaboration experience
Nice to have
- Publications at top conferences like CVPR, ICML, NeurIPS, ICCV, ICL
- PhD in machine learning, computer vision, or robotics vision
- Autonomous vehicle or related field experience
- Real-world model deployment experience
- Strong C++ and CUDA programming skills