Senior/Staff Machine Learning Engineer, 3D Simulation
Job Summary
Job Description
Zoox is seeking machine learning engineers for its 3D Simulation group to enhance diversity and realism in simulations by applying cutting-edge 3D vision research. The role involves leveraging world-class sensor data and infrastructure to develop algorithms for generating diverse 3D environments, human models, and environmental conditions. Responsibilities include researching, implementing, and optimizing advanced machine learning techniques for simulation fidelity, collaborating with cross-functional teams (ML Researchers, Technical Artists, Simulation Engineers) to integrate new ML methods, building scalable cloud pipelines for ML solutions in 3D simulation, and improving rendering tools for large-scale realistic data generation.
Must have:
- 7+ years of programming and algorithm design experience
- Fluency in C++ and Python
- Experience with modern 3D vision techniques (CNNs, Diffusion, NeRF)
- Publications or production experience in human-centric 3D vision, reconstruction, or style transfer
- Strong mathematical skills and understanding of probabilistic techniques
Good to have:
- Bachelor's, Master's, or PhD in CS, mathematics, physics, or related field
- Publications in relevant conferences (CVPR, ICCV, RSS, ICRA)
- Experience with generative models for 3D content
- Experience automating 3D content pipelines (Houdini, Maya, Blender)
- Experience in distributed systems and cloud computing platforms
- Experience in 3D rendering for simulation, games, or VFX
Perks:
- Paid time off (sick leave, vacation, bereavement)
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon Restricted Stock Units (RSUs)
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
- Sign-on bonus may be offered
11 skills required
Job Details
The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions, and you will be able to contribute to any (or all!) of these.
In this role, you will:
- Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity
- Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator
- Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation
- Improve rendering and tooling for generating realistic data at scale
Qualifications:
- 7+ years of experience with programming and algorithm design
- Fluency in C++ and Python
- Experience with modern 3D vision techniques like CNNs, Diffusion, and NeRF
- Publications or production experience in human-centric 3D vision, reconstruction, or style transfer
- Strong mathematical skills and understanding of probabilistic techniques
Bonus Qualifications:
- Bachelor's, Master's or PhD in computer science, mathematics, physics, or related field
- Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
- Experience with generative models for 3D content
- Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender.
- Experience in distributed systems and cloud computing platforms
- Experience in 3D rendering for simulation, games, or VFX
$217,000 - $295,000 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.
Accommodations
If 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.
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About The Company
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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