Zoox is looking to build core machine perception algorithms to understand natural environments and create semantic maps in an automated way for fully autonomous driving.
Requirements
- Experience with training and deploying deep learning models
- Experience with 3D computer vision and projective geometry
- Proficiency in Python and/or C++
- Experience with deep learning frameworks such as PyTorch
- Conference or journal publications in Computer Vision, Machine Learning or Robotics related venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, RSS, etc.)
- Experience with high-definition (HD) maps
- Experience with object detection, object recognition, semantic segmentation and/or semantic scene understanding
Responsibilities
- Design and develop novel algorithms and ML models for 2D/3D machine perception in real-world environments
- Stay up-to-date with the latest state-of-the-art research in computer vision and machine learning, and apply learned knowledge to improve our systems
- Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Data Science, and more
Other
- Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program
- Must be returning to school to continue your education upon completing this internship
- Good academic standing
- Able to commit to a 12-week internship beginning in May or June of 2026.
- At least one previous industry internship, co-op, or project completed in a relevant area
