Senior/Staff Machine Learning Engineer, 3D Simulation

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Senior/Staff Machine Learning Engineer to join their 3D Simulation group. This role presents an exciting opportunity to work at the intersection of machine learning and autonomous vehicle development, with access to world-class sensor data and testing infrastructure.

The position focuses on advancing 3D vision technology to enhance simulation diversity and bridge the gap between simulation and reality. You'll be working on generating rich and diverse 3D environments, human simulations, and environmental conditions. The role requires expertise in machine learning, particularly in 3D vision techniques like CNNs, Diffusion, and NeRF.

As a member of the team, you'll collaborate with ML Researchers, Technical Artists, and Simulation engineers to implement cutting-edge ML techniques in the production simulator. The role involves building scalable cloud pipelines and improving rendering systems for realistic data generation at scale.

The compensation package is competitive, ranging from $190,000 to $285,000, plus Amazon RSUs and Zoox Stock Appreciation Rights. The company offers comprehensive benefits including health insurance, paid time off, and various insurance coverages.

Zoox's mission is to revolutionize urban mobility through their fully autonomous vehicle fleet. They're seeking candidates with strong technical backgrounds (7+ years of experience) and expertise in C++ and Python. The hybrid work environment in Seattle provides flexibility while maintaining collaborative opportunities.

This role is perfect for someone passionate about autonomous vehicles, machine learning, and 3D simulation, offering the chance to work on groundbreaking technology that will shape the future of transportation. The company values diverse perspectives and welcomes candidates from various backgrounds and experience levels.