Senior Staff Machine Learning Engineer - Perception
ZooxBoston, MA
On-site Full-time
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Experience Level
Senior
Qualifications
Master’s or Ph. D. in Computer Science, Electrical Engineering, or a related field.8+ years of experience in machine learning, with a strong emphasis on perception algorithms. Proficiency in programming languages such as Python, C++, or similar. Demonstrated expertise in deep learning frameworks like TensorFlow or PyTorch. Strong analytical skills with the ability to tackle complex problems creatively. Excellent communication and collaboration abilities, working effectively in cross-functional teams.
Join our innovative Perception team at Zoox, where we harness the power of cutting-edge sensor data to decode the intricacies of dynamic driving environments. In this pivotal role, you will leverage world-class sensor data and a robust infrastructure to test and validate groundbreaking algorithms. Your contributions will be instrumental in developing advanced algorithms for segmentation, tracking, classification, and high-level scene understanding, allowing you to engage with any or all of these exciting components.
As a Senior Staff Machine Learning Engineer, you will spearhead the creation of machine learning algorithms that significantly influence both onboard and offboard autonomy and validation processes. You will work collaboratively with specialized teams in Prediction, Planning, Simulation, and Safety Validation, shaping our overarching technical framework. Your innovative approach will bridge team boundaries, enabling the prototyping of new methodologies that guide the long-term technical vision across multiple divisions within the organization. The impact of your work will range from achieving immediate company objectives to leading pioneering exploratory initiatives.
About Zoox
At Zoox, we are redefining the future of transportation through our groundbreaking autonomous vehicle technology. Our culture thrives on innovation, collaboration, and a commitment to pushing the boundaries of what is possible in mobility. Join us in our mission to create a safer, more efficient transportation ecosystem.
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