Machine Learning Engineer, 3D Simulation

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Machine Learning Engineer specializing in 3D Simulation to join their innovative team in Seattle, WA. This role offers an exciting opportunity to work at the forefront of autonomous vehicle development, focusing on improving simulation diversity and bridging the gap between simulation and reality.

As a Machine Learning Engineer in the 3D Simulation group, you'll have access to world-class sensor data and cutting-edge infrastructure for testing and validating your algorithms. You'll be working on generating rich and diverse 3D environments, humans, and environmental conditions, contributing to the advancement of Zoox's autonomous vehicle technology.

Key responsibilities include researching and implementing state-of-the-art machine learning approaches, collaborating with ML Researchers and Technical Artists, building scalable cloud pipelines, and improving rendering techniques for realistic data generation at scale. The ideal candidate will have 3+ years of experience in programming and algorithm design, fluency in C++ and Python, and expertise in modern 3D vision techniques.

Zoox offers a competitive compensation package, including a salary range of $134,000 to $222,000, Amazon RSUs, and Zoox Stock Appreciation Rights. Additional benefits include comprehensive health insurance, paid time off, and various insurance options.

Join Zoox in their mission to revolutionize urban mobility with autonomous vehicle technology. This role presents a unique opportunity to work at the intersection of robotics, machine learning, and design, contributing to the next generation of mobility-as-a-service in urban environments. If you're passionate about pushing the boundaries of 3D simulation and machine learning in the context of autonomous vehicles, this could be the perfect role for you.