M
$172,000 – $229,000
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 of perception systems for autonomous vehicles, focusing on large-scale machine learning models and real-time deployment to self-driving fleets. It suits experienced ML engineers who want to tackle complex computer vision challenges and mentor others at a company scaling towards commercial robotaxi operations.
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
- 3-5+ years in Machine Learning, Computer Science, Robotics, or related field
- Master's or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or equivalent industry experience
- Deep understanding of Machine Learning and Deep Learning algorithms
- Experience designing, training, and analyzing neural networks for perception tasks like object detection, segmentation, classification, or tracking
- Deep learning framework experience with TensorFlow or PyTorch
- Fluent in Python with scientific computing libraries and Python bindings development
- Advanced software engineering knowledge including design, source control, build processes, code reviews, and testing
- Strong communication and interpersonal skills
- Experience mentoring and leading engineers
Nice to have
- Track record designing, training, or fine-tuning Foundation Models for autonomous driving or robotic perception
- Deep expertise in World Models, generative video/LiDAR prediction, scene synthesis, and sensor simulation
- Strong Knowledge Distillation and model compression experience
- Experience with Synthetic Data Generation and multi-modal automated labeling systems
- Publications at premier computer vision or ML conferences like CVPR, ICML, NeurIPS, ICCV, ECCV