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Machine Learning Engineer, Agent Simulation

Develop innovative agent behaviors to enhance autonomous mobility solutions in urban transportation.
Seattle
Senior
$134,000 - 222,000 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 state-of-the-art machine learning approaches to enhance agent behaviors - Develop innovative solutions for agent behaviors and simulation analysis - Collaborate with safety and autonomy engineers to analyze the difference between simulation and real-world behaviors - Build scalable cloud pipelines for machine learning solutions for simulation - Work on creating diverse and innovative agent behaviors to improve urban transportation

⚡ 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 improving agent behaviors - Skilled in Python, C++, Numpy, and machine learning frameworks like PyTorch, TensorFlow, or JAX - Strong mathematical skills and the ability to analyze and optimize machine learning algorithms - Previous experience with autonomous vehicles, robotics, or agent behaviors is a plus
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Machine Learning Engineer, Agent Simulation
Seattle
$134,000 - 222,000 USD / year
Software
About Zoox
Developing autonomous mobility solutions with an aim to improve urban transportation.