POSTING ACTIVE · REQ-1C3F1 · FY25.Q2
Senior Machine Learning Engineer - Perception
[ COMPENSATION RANGE · ANNUAL · BASE ]
$242,000 – $290,000USD
MIDPOINT
$266,000
SPREAD
$48,000
LEVEL
SENIOR
TECHNICAL STACK · 1 TAGS
§ 01
OVERVIEW
As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data. In particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracking models as well as ways to send rich embeddings to downstream models to relay semantic meaning and capture uncertainty.
This role offers a unique opportunity to directly impact Zoox's expansion into new areas. By developing more generalizable and adaptable models, you will help us navigate diverse and challenging circumstances, accelerating our mission to deliver safe and reliable autonomous mobility. We are looking for a highly motivated individual passionate about pushing the boundaries of perception in the autonomous vehicle space.
§ 02
IN THIS ROLE, YOU WILL
- Train ML models, perform various studies into incorporating SOTA approaches as well as ablations/modifications of existing models
- Document experimental outcomes and drive towards deploying these models into Zoox robots
- Visualize your data at the input and output to understand the issues
- Collaborate with teams such as ML optimization, data labeling, metrics and planner to ensure project is successful for Zoox releases
§ 03
QUALIFICATIONS
- MS/PhD in Computer Science or related field
- Experience with PyTorch or related ML frameworks
- Experience deploying learned models into production
- Excellent collaboration and teamwork skills with proven track record of working on large-scale problems
§ 04
BONUS QUALIFICATIONS
- Prior experience in the AV or related space with joint detection and tracking models
- Deep understanding of how to setup end-to-end training and evaluation processes
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.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.
§ 05
REQUIREMENTS
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.
QUESTIONS AND ANSWERS
- How much does the Senior Machine Learning Engineer - Perception at Zoox pay?
- The posting lists a range of $242K–$290K per year. Ranges reflect what Zoox publicly declared on the source posting.
- Where is this Senior Machine Learning Engineer - Perception role based?
- The role is based in Foster City, CA.
- What experience does Zoox expect for this role?
- The posting is tagged as a senior-level role, typically 5+ years of experience. Check the requirements section for specifics.
- Where is Zoox headquartered?
- Zoox is headquartered in Foster City, USA.
- How was this posting sourced?
- This role was pulled directly from Zoox's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
[ APPLICATION ROUTE ]LEVER · External ATS
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.
[ SHARE THIS ROLE ]