Machine Learning Engineer - Mapping

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).