Job Description
High-definition semantic maps are a critical tool for enabling autonomous driving. We are looking for highly motivated individuals who are passionate about machine learning, computer vision, and machine perception. You will be part of our algorithm team with a diverse group of researchers and engineers, working together to build core machine perception algorithms to understand the natural environments and build semantic maps in an automated way.
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).
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Requirements
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).
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