In this role, you will:
- Design and develop novel algorithms and ML models for 2D/3D machine perception in real-world environments.
- Leverage our large-scale ML infrastructure to speed up development and deployment of ML models.
- 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.
- Develop metrics and tools to analyze errors and understand improvements of our systems.
- Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Data Science, and more.
Qualifications
- BS, MS, or PhD degree in Computer Science, Math or related fields.
- 3+ years of industry or academia experience in related fields.
- Experience with training and deploying deep learning models.
- Experience with 3D computer vision and projective geometry.
- Proficiency in Python.
- Experience with deep learning frameworks such as PyTorch.
Bonus Qualifications
- 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.
- Experience with 3D reconstruction, SLAM and/or Structure from Motion (SFM).
Top Skills
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
Gallery








