Machine Learning Engineer – Mapping
| Company | Zoox |
|---|---|
| Location | San Mateo, CA, USA |
| Salary | $196000 – $246000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- 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.
Responsibilities
- 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.
Preferred 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).