Machine Learning Engineer, 3D Simulation

Zoox is hiring a Machine Learning Engineer, 3D Simulation in Foster City, United States. It pays $155k-$220k a year and Level rates it ; you can apply on Zoox.

Level's read on this job

Level rates this machine learning engineer role Builds AI ●●●●: the job is building AI systems.
Level classes it as a mid-level role.
Zoox has 240 other open roles on Level.

AI in this role

The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to accelerate autonomy by blurring the line between simulation and reality. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions using reconstruction and generative models. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validation to bring new algorithms into our robotics stack.

In this role, you will:

Research, implement, and optimize state of the art machine learning approaches to improve 3D simulation variation and fidelity
Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator
Train 4D generative and world models for simulating rare scenarios
Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation
Improve rendering and tooling for generating realistic data at scale

Qualifications

3+ years of experience with Python/C++ programming and algorithm design
Experience building and extending radiance field ML models
Experience with generative models for 3D or video content
Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer
Strong mathematical skills and understanding of probabilistic techniques

Bonus Qualifications

Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender
Experience in distributed systems and cloud computing platforms
Experience in generative camera, lidar, radar, or LWIR

About ZooxZoox 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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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.

How we rate this

Machine Learning Engineer, 3D Simulation at Zoox rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.