Machine Learning Engineer, Agent Simulation

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Machine Learning Engineer to join their Agent Simulation group. This role sits at the intersection of artificial intelligence, autonomous vehicles, and robotics, offering an exciting opportunity to shape the future of urban mobility.

The position involves working with cutting-edge machine learning technologies to enhance agent behaviors in autonomous vehicle simulations. You'll have access to extensive real-world driving data and sophisticated testing infrastructure, making this an ideal role for someone passionate about applying ML to real-world robotics challenges.

The role combines practical machine learning engineering with innovative research, requiring expertise in deep learning, Python programming, and production ML pipelines. You'll be working on crucial aspects of autonomous vehicle development, from implementing state-of-the-art ML approaches to building scalable cloud pipelines for simulation solutions.

Compensation is competitive, ranging from $141,000 to $234,000, plus Amazon RSUs and Zoox Stock Appreciation Rights. The company offers comprehensive benefits including various insurance options and flexible time off policies. The hybrid work environment in Foster City, CA, provides a balance between collaborative in-person work and remote flexibility.

This is an exceptional opportunity for a machine learning professional who wants to contribute to groundbreaking autonomous vehicle technology while working with a talented team at the forefront of AI and robotics. The role offers significant growth potential and the chance to make a real impact on the future of urban transportation.