Machine Learning Engineer - 3D Sensor Simulation Software

Frontdoor Defense; Foster City, Northern (CA, KY); Hybrid; USD 189,000 - 283,000; Full time

Benefits offered by this job

Zoox Stock Appreciation Rights

Amazon RSUs

Health insurance

Paid time off

Job summary

Zoox is seeking a Machine Learning Engineer to develop and validate ML models that improve the realism of simulated LiDAR, radar, and camera data for autonomous vehicle testing. You will work at the intersection of ML and 3D sensor simulation, integrating NeRF-based reconstruction with AV sensor pipelines.

You will build training datasets, define realism metrics with V&V and Perception teams, and mentor engineers while shaping ML deployment practices for Zoox sensor data.

Qualifications

• 3+ years of experience building ML models in Python for sensor data.
• Experience applying ML to LiDAR, radar, and camera data.
• Strong ability to design, train and validate ML pipelines.

Responsibilities

• Design, train, and validate ML models to improve realism of LiDAR, radar, and camera data in AV simulations.
• Collaborate with Synthetic Data, HIL Sim teams to integrate 3DGS and NeRF-based reconstruction with sensor simulation.
• Build and curate training datasets from real and simulated data, including GenAI-based augmentation.
• Define sensor realism metrics with V&V and perception teams to close sim-to-real gaps.
• Mentor engineers and interns; promote best practices for training and deploying ML on Zoox sensor data.

Skills

ML in Python

PyTorch/TensorFlow

Sensor data ML

3D reconstruction

Tools

3D reconstruction (NeRF)

Job description

Machine Learning Engineer - 3D Sensor Simulation

Develop and validate ML models to enhance realism of LiDAR, radar, and camera simulations

Location: Foster City, California

Compensation: $189,000 - 283,000 USD / year

About The Role

Zoox 3D Sensor Simulation Team Position

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.

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

$189,000 - $283,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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.

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] 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.