Senior Machine Learning Engineer - Perception
Hybrid Foster City Boston Full-time Senior Machine Learning Engineering
At a glance
Senior Machine Learning Engineering role at Zoox. Foster City · full-time · $225,000–$305,000 base.
SalaryStated by Zoox
$225,000 – $305,000
Base salary for this role, in USD per year, as published in the posting.
RoleMachine Learning Engineering
SenioritySenior
LocationFoster City
WorkplaceHybrid
EmploymentFull-time
Base pay$225,000–$305,000
PostedMay 20, 2025 · 1y ago
Also hiring inBoston
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Train perception models and test current approaches through studies, ablations, and model changes
- Record experiment results and move promising models toward deployment on Zoox robots
- Inspect data at model inputs and outputs to identify issues
- Coordinate with optimization, labeling, metrics, and planning teams to support releases
What you bring
- A graduate degree in computer science or a related discipline
- Hands-on experience with PyTorch or another machine learning framework
- Experience putting learned models into production
Who this fits
This senior role suits an engineer focused on perception models and production deployment. The position is hybrid in Foster City.
From the employer
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.
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AccommodationsIf 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.
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
Follow us on LinkedIn
AccommodationsIf 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.