Machine Learning Engineer - Mapping

Zoox

2600

Foster City, CA, United States

Posted on: 2025-04-08

Category: emobility

Apply now

Please let Zoox know you found this job on Work in Green. This will help us grow!

Apply to job

Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

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.

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $196,000 to $246,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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).

14206 Emobility jobs

Similar climate jobs

These are some of our top picks for great climate jobs on Work in Green.

Full time

Zoox

2600

Full time

Emobility