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Senior Machine Learning Engineer - Perception

Zoox · Foster City · Full-time · Technology / Software & Data
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Visa & eligibility

Accepts F-1 students
not published
Supports CPT
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Supports OPT
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Supports STEM OPT
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E-Verify employer
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Sponsorship stance
Unknown / not mentioned

The job

Location
Foster City, CA
Work setting
Hybrid
Hours per week
not published
Schedule
not published
Experience required
not published
New graduates accepted
not published

Skills mentioned

machine learningpytorch

Compensation & benefits

Pay range
$225,000–$305,000/yr
Relocation assistance
not published
Health insurance
not published

Applying

Application deadline
not published
Typical response time
not published
Number of applicants
not published
Posting verified
Verified live
Last checked
Sept. 23, 2026, 3:45 a.m.
Applies directly to employer
Yes

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Employer

Company
Zoox
Industry
Technology / Software
Company size
not published
Contact
accommodation
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ghly execution-oriented team. Follow us on LinkedIn 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 per
Contact email
Source
Zoox

Full description

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. 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 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 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. Follow us on LinkedIn 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.
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