Senior/Staff Machine Learning Engineer, Agent Simulation

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Senior/Staff Machine Learning Engineer to join their Agent Simulation group. This role presents an exciting opportunity to work at the intersection of artificial intelligence, robotics, and autonomous vehicles.

The position involves developing and enhancing agent behaviors through advanced machine learning techniques, working with extensive real-world driving data, and utilizing state-of-the-art infrastructure for testing and validation. As a key member of the ML group, you'll be responsible for creating diverse and innovative agent behaviors that contribute to the company's mission of developing fully autonomous vehicles.

The role offers a competitive compensation package ranging from $200,000 to $300,000, plus Amazon RSUs and Zoox Stock Appreciation Rights. The company provides comprehensive benefits including various insurance options and flexible time off policies.

Working in a hybrid setting in Foster City, CA, you'll collaborate with safety and autonomy engineers, leveraging your expertise in deep learning, Python, and ML frameworks to build scalable solutions. The ideal candidate should possess strong mathematical skills and experience with production ML pipelines.

This is an excellent opportunity for someone passionate about autonomous vehicles and machine learning to make a significant impact in a fast-moving, execution-oriented team. The role offers the chance to work on groundbreaking technology that will shape the future of urban mobility.

Zoox values diversity and encourages applications from candidates with varied backgrounds and experiences. The company maintains that candidates need not match every listed qualification to be considered, fostering an inclusive environment that drives innovation through diverse perspectives.