Senior/Staff Machine Learning Engineer, Agent Simulation - Zoox

Job Title: Senior/Staff Machine Learning Engineer, Agent Simulation
Job Location: Seattle, WA
Job Listing URL: https://jobs.lever.co/zoox/39a83276-e6cb-4348-a9aa-b1597dccbc5b
Job Description: The Agent Simulation group at Zoox is in search of machine learning engineers to play a crucial role in enhancing agent behaviors, assessing performance, and developing tools to prioritize simulation results. You will be instrumental in the development of reliable and validated simulations, and have the opportunity to work with a wealth of real-world driving data and an exceptional infrastructure for testing and validating your algorithms. Our ML group is focused on creating diverse and innovative agent behaviors, and your contributions will be key in this endeavor.
In this role, you will:
Research, implement, and optimize state-of-the-art machine learning approaches to improve plausible agent behaviors
Find innovative solutions for agent behaviors and simulation analysis
Prove machine-learned algorithms have better performance than heuristics
leverage our large-scale machine-learning infrastructure to discover new solutions
Analyze the difference between behaviors in simulation and real-world
Work cross-functionally with our safety and autonomy engineers
Build scalable, useable cloud pipelines for machine learning solutions for simulation
Qualifications
BS, MS, or PhD degree in Computer Science or a related field
Experience with training and deploying deep learning models
Experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
Fluency in Python and a basic understanding of C++
Fluency with Numpy and PyTorch, TensorFlow or JAX
Strong mathematics skills
Bonus Qualifications
Experience with LLMs, reinforcement learning, imitation learning
Conference or journal publications in machine learning or robotics
Prior experience with agent behaviors, prediction, autonomous vehicles or robotics

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