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Zoox

Machine Learning Engineer - 3D Sensor Simulation

  • Hybrid
  • 3-6 years

Salary

$189,000 - 283,000/ year

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Description

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:

Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines.

Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities.

Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation.

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.

Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data.

Requirements

  • 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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Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Zoox

  • Industry: Mobility

Offices in United States, Seattle, United States

Also hiring in Boston, United States and San Diego, United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

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Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • PyTorch
  • LLMs
  • TensorFlow
  • Computer vision
Type
Full-time
Industry
Mobility
Specialty
ML
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
3+ years
Tech stack
  • Python
  • PyTorch
  • LLMs
  • TensorFlow
  • Computer vision

Location

Work model
Hybrid
Region
United States
Offices
  • United States
  • Seattle, United States
Remote from
  • United States

Compensation

Salary
$189,000 - 283,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Mobility

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