Role overview
The Perception team is looking for a machine learning engineer to develop cutting-edge Computer Vision modules to enhance the on-board perception of our robotic fleet, directly impacting safety and fleet efficiency. In this role, the ideal candidate will work on the full design and development cycle, including data collection, data set creation, machine learning models design and implementation.
What you'll work on
- Design and develop in-cabin Computer Vision ML modules for safety critical perception and monitoring applications
- Implement Perception model architectures and sophisticated training techniques
- Build high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have collected
- Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of our autonomous system
What we're looking for
Experience with any of the following:
- Self-driving industry experience
- Experience delivering ML model integration in latency-sensitive systems
- Experience with CUDA code
Tags & focus areas
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