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Machine Learning Engineer, Agent Simulation

Develop innovative agent behaviors to improve simulation accuracy and real-world application.
San Francisco Bay Area
Senior
$141,000 - 234,000 USD / year
3 weeks ago
Zoox

Zoox

Developing autonomous mobility solutions with an aim to improve urban transportation.

✨ About The Role

- Research, implement, and optimize machine learning approaches to enhance agent behaviors and simulation analysis - Develop innovative solutions for agent behaviors and analyze the difference between simulation and real-world data - Collaborate with safety and autonomy engineers to build scalable cloud pipelines for machine learning solutions - Work on creating diverse and innovative agent behaviors using real-world driving data - Contribute to the development of reliable and validated simulations for autonomous mobility solutions

⚡ Requirements

- Experienced machine learning engineer with a background in computer science or a related field - Proficient in training and deploying deep learning models, with a focus on agent behaviors and simulation analysis - Skilled in Python, C++, Numpy, and machine learning frameworks like PyTorch, TensorFlow, or JAX - Strong mathematical skills and experience with production machine learning pipelines - Previous work with autonomous vehicles, robotics, or agent behaviors is a plus
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Machine Learning Engineer, Agent Simulation
San Francisco Bay Area
$141,000 - 234,000 USD / year
Software
About Zoox
Developing autonomous mobility solutions with an aim to improve urban transportation.