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Senior Machine Learning Engineer - ML Agents and Planning

ZooxFoster City, CA
On-site Full-time

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Experience Level

Senior

Qualifications

Master’s or PhD in Computer Science, Engineering, or a related field.5+ years of experience in machine learning, particularly with ML Agents and planning algorithms. Proficiency in programming languages such as Python, C++, or similar. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with simulation environments and validation processes. Excellent problem-solving skills and ability to work collaboratively in a team-oriented environment. Familiarity with autonomous driving technologies is a plus.

About the job

Join the Offline Driving Intelligence team at Zoox, where we are pioneering the development of Foundation Models for ML Agents and strategic planning. Our mission is to leverage these models off-vehicle to enhance generalization capabilities for simulation and validation processes. In this role, you will collaborate closely with teams focused on Planning, Simulation, and Validation to craft and assess our driving performance. As a Senior Machine Learning Engineer specializing in ML Agents and Planning, you will operate at the forefront of the industry, innovating machine learning pipelines and models to accurately predict the behavior of surrounding agents and determine optimal pathways for the ego vehicle.

About Zoox

At Zoox, we are committed to reimagining mobility. Our innovative approach combines cutting-edge technology and a passion for creating self-driving solutions that enhance the future of transportation. Located in Foster City, CA, our diverse team is dedicated to pushing the boundaries of autonomous vehicle technology and delivering exceptional experiences to our users.

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