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Senior Machine Learning Engineer - Perception Mapping

ZooxFoster City, CA
On-site Full-time

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Experience Level

Senior

Qualifications

Bachelor's or Master's degree in Computer Science, Robotics, or a related field.5+ years of experience in machine learning or software engineering roles, particularly within perception systems. Proficiency in programming languages such as Python, C++, or similar. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Solid understanding of computer vision and sensor fusion techniques. Experience with data gathering and labeling processes for training datasets. Ability to work collaboratively in a fast-paced, interdisciplinary team environment. Excellent problem-solving skills and attention to detail.

About the job

The Perception team at Zoox plays a pivotal role in advancing our autonomous vehicle technology by creating a sophisticated understanding of the world for our self-driving robots. Our expertise enables safe and efficient navigation through complex environments by leveraging advanced detection, classification, and tracking systems.

As a Senior Software Engineer within the perception mapping team, you will be an integral player in Zoox’s online mapping initiatives. Your responsibilities will encompass designing, training, validating, and integrating machine learning models that accurately detect semantic elements within our environment. This role will engage you in all phases of ML development, including data collection, labeling, training, validation, and onboard integration. Your contributions will be crucial in achieving significant milestones in scaling and enhancing our autonomy capabilities, ultimately driving the success of Zoox.

About Zoox

Zoox is a pioneering company at the forefront of autonomous vehicle technology, dedicated to redefining transportation. Our innovative team is committed to creating safe, reliable, and efficient self-driving solutions. With a focus on cutting-edge technology and collaborative culture, Zoox empowers its employees to challenge the status quo and shape the future of mobility.

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