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Senior / Staff Machine Learning Engineer - Perception Attributes

ZooxFoster City, CANew
On-site Full-time

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Experience Level

Senior

Qualifications

To be successful in this role, you should possess a strong background in machine learning, particularly with experience in perception and behavioral modeling. A Master's degree in a related field is preferred, alongside significant industry experience. Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch are essential. You should also have a deep understanding of computer vision techniques and a passion for developing innovative solutions to complex problems.

About the job

Join our innovative Attributes team within the Perception department as a Senior / Staff Machine Learning Engineer. In this pivotal role, you will spearhead the development and enhancement of advanced behavioral models for diverse road users, such as vehicles, pedestrians, and cyclists. Your focus will be on establishing and maintaining robust perception attribute models that deliver critical signals to our autonomous driving stack. These signals are vital for empowering our Prediction and Planning teams to make intelligent and safe driving decisions for our autonomous vehicles.

The Attributes team plays an essential role in Zoox's autonomous driving capabilities. The models you create will form the cornerstone of how our vehicles interpret and engage with other road users, directly influencing the safety and efficiency of our autonomous driving system. By delivering reliable and precise behavioral models, you will enable Zoox's vehicles to make informed, secure decisions in complex urban settings, helping us realize our vision of transforming urban mobility.

About Zoox

Zoox is at the forefront of redefining urban mobility through cutting-edge autonomous driving technology. Our mission is to create a safer and more efficient transportation ecosystem by leveraging advanced AI and machine learning solutions. Join us to be part of a transformative journey in revolutionizing how people move around cities.

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