About this opportunity
jobs.frontdoordefense.com - Jobboard lists this Machine Learning Engineer, 3D Simulation opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Machine Learning Engineer, 3D Simulation
Develop rich and diverse 3D environments to blur the line between simulation and reality.
Location: San Francisco Bay Area
Compensation: $151,000 - $257,000 per year (Base Salary Range; additional components include Amazon RSUs, Zoox Stock Appreciation Rights, and a potential sign‑on bonus). Benefits include paid time off, health insurance, long‑term and short‑term disability insurance, life insurance, and more.
About The Role
The 3D Simulation group at Zoox seeks 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 all of these.
Responsibilities
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, usable 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 programming and algorithm design.
Fluency in Python and C++.
Experience building and extending radiance field ML models.
Publications or production experience in human‑centric 3D vision, 3D reconstruction, or style transfer.
Strong mathematical skills and understanding of probabilistic techniques.
Bonus Qualifications
Advanced degree in computer science, mathematics, physics, or related field.
Publications in top conferences (CVPR, ICCV, RSS, ICRA).
Experience with generative models for 3D or video content.
Experience automating 3D content pipelines using Houdini, Maya, or Blender.
Experience in distributed systems and cloud computing platforms.
Experience in generative camera, lidar, radar, or LWIR.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.