Senior/staff Machine Learning Engineer - Perception HD Mapping

Machine Learning Engineer On The Perception Hd Mapping Team

The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems.

We are seeking highly motivated engineers who thrive on solving complex, real-world challenges and driving technical initiatives end to end. In this role, you will serve as a technical lead within a diverse, collaborative team focused on building scalable HD mapping algorithms, systems, and data pipelines.

As a Machine Learning Engineer on the Perception HD Mapping team, you will play a key role in advancing our 3D mapping capabilities. High-definition 3D maps are foundational to achieving fully autonomous driving, enabling safe and reliable navigation at scale. Your leadership will be instrumental as we accelerate the expansion to new cities and significantly increase the speed and frequency of map updates, ensuring our mapping infrastructure scales efficiently with growing operational demands.

In this role, you will...

• Design and develop novel algorithms and ML models for 2D/3D machine perception and mapping in real-world environments
• Contribute to large-scale, automated mapping pipelines
• Be a technical leader on the team, maintaining coding and ML development best practices and making architectural decisions
• Help to set the vision for the team and build out technical roadmaps
• Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Planner, Simulation, Data Science, and more
• Drive the use of metrics and tools to guide development, validate algorithms, and measure progress

Qualifications

• MS or PhD or equivalent experience (7+ years) in Computer Science or related field
• Experience in computer vision or robotics
• Experience with training and deploying deep learning models
• Proficiency in Python and/or C++
• Experience leading cross-functional projects

Bonus Qualifications

• Experience with high definition (HD) maps
• Experience with 3D computer vision, 3D reconstruction, or SLAM
• Experience with geospatial data and coordinate systems

$242,000 - $333,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. 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.

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.

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

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.