Machine Learning Engineer - 3D Sensor Simulation
Company websitezoox.com (Zoox, opens in new tab)
Base salary $189K to $283K
Employer-published annual base salary, USD. Advertised base range in Foster City, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationFoster City, CA +1 more
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (18 min ago) · observed since
All places named
- Foster City, CA
- Seattle, WA
About this job
The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras.
This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans.
In this role, you will:
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Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines.
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Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities.
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Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation.
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Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy.
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Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data.
Qualifications:
- 3+ years of experience developing ML models in Python with PyTorch or TensorFlow
- Industry experience applying ML to sensor data (lidar, radar, and/or cameras)
- Solid understanding of customizing, tuning, and validating ML training pipelines
Bonus Qualifications:
- Experience with generative techniques such as diffusion, flow matching, or VAEs
- Experience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering
- Prior experience developing autonomy in AVs or other robotics and computer vision
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.
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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.
Source: Zoox on Lever · View original posting (opens in new tab)
This listingMachine Learning Engineer - 3D Sensor Simulation$189K to $283K
Software Engineer - Learned Trajectory Machine Learning Engineer$189K to $270K
Senior / Staff Technical Program Manager, Fleet Optimization$190K to $261K
Seating and Passive Safety HW Validation Engineer$190K to $228K
Senior Validation Engineer, Suspension$190K to $228K
Senior Supplier Quality Engineer$190K to $228K
Manager, Technical Program Management - System Safety for Cross Functional Initiatives$186K to $255K
Chart as a table
| Role | Published base |
|---|---|
| Machine Learning Engineer - 3D Sensor Simulation (this listing) | $189K - $283K |
| Software Engineer - Learned Trajectory Machine Learning Engineer | $189K - $270K |
| Senior / Staff Technical Program Manager, Fleet Optimization | $190K - $261K |
| Seating and Passive Safety HW Validation Engineer | $190K - $228K |
| Senior Validation Engineer, Suspension | $190K - $228K |
| Senior Supplier Quality Engineer | $190K - $228K |
| Manager, Technical Program Management - System Safety for Cross Functional Initiatives | $186K - $255K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-12
Where this pay comes from
Location as the employer wrote it: Foster City, CA • Seattle, WA
USD 189,000 – 283,000 · per-year-salary · salaryRange
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
