Machine Learning Engineer - Mapping

Reposted 25 Days Ago
Foster City, CA
Hybrid
189K-257K Annually
Mid level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
The role involves designing and developing algorithms and ML models for machine perception, collaborating with cross-functional teams, and applying research in computer vision to improve systems.
Summary Generated by Built In
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.

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).

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.

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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.

Top Skills

Python
PyTorch
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The Company
HQ: Foster City, CA
2,500 Employees
Year Founded: 2014

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.

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