M
$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 involves developing and deploying machine learning models for autonomous vehicle perception and prediction, working alongside research scientists to advance self-driving technology. It suits experienced ML engineers with deep learning expertise who want to tackle real-world challenges in autonomous driving at a company scaling toward commercial deployment.
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 understanding of machine learning and deep learning algorithms
- Experience designing, training, and analyzing neural networks for motion planning, object detection, sensor fusion, motion prediction, or multi-object tracking
- Track record solving poorly-defined problems and executing efficiently
- Advanced knowledge of software engineering principles including design, version control, build processes, and testing
- Experience with PyTorch or other Python-based deep learning frameworks
- Experience working with large datasets and extracting insights
- Experience mentoring and collaborating with others
- Master's or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or related field; or equivalent industry experience
Nice to have
- Publications in CVPR, ICML, NeurIPS, ICCV, or related conferences
- PhD in machine learning, computer vision, or robotics vision
- Prior work on autonomous vehicles or related domains
- Experience deploying models to production environments
- Strong C++ and CUDA programming skills