Machine Learning Engineer, 3D Simulation

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Machine Learning Engineer to join their 3D Simulation group. This role sits at the intersection of cutting-edge ML research and practical automotive applications, focusing on improving the diversity and realism of simulated environments.

The position offers an exciting opportunity to work with world-class sensor data and infrastructure, contributing to the development of rich and diverse 3D environments, human simulations, and environmental conditions. As a Machine Learning Engineer, you'll be implementing state-of-the-art ML approaches, collaborating with researchers and technical artists, and building scalable cloud pipelines for 3D simulation.

The role requires strong expertise in Python and C++, with at least 3 years of programming experience. Candidates should have a solid background in radiance field ML models and experience in 3D vision, reconstruction, or style transfer. The position offers competitive compensation, including a base salary range of $160,000 - $255,000, plus Amazon RSUs and Zoox Stock Appreciation Rights.

Zoox provides a comprehensive benefits package, including various insurance options and paid time off. The company culture emphasizes diversity and innovation, welcoming candidates from various backgrounds and experience levels. Working in a hybrid setting in Foster City, CA, you'll be part of a fast-moving team developing the future of urban mobility.

This is an excellent opportunity for someone passionate about autonomous vehicles, machine learning, and 3D simulation who wants to contribute to groundbreaking technology that will reshape urban transportation.