Senior/Staff Machine Learning Engineer - Offline Driving Intelligence
ZooxFoster City, CA
On-site Full-time
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Experience Level
Senior
Qualifications
The ideal candidate will possess a Master’s or Ph. D. in Computer Science, Machine Learning, or a related field, along with extensive experience in machine learning applications within the automotive or robotics industries. Proficiency in Python, TensorFlow, or PyTorch is essential, alongside a solid foundation in statistics and data analysis. Experience with automated testing frameworks and validation processes is a plus. The candidate should exhibit strong problem-solving skills, a collaborative spirit, and the ability to thrive in a fast-paced environment.
Join Zoox on an innovative journey to revolutionize autonomous mobility solutions for urban environments, leading to the safe deployment of our robotaxi service. We are seeking a seasoned Senior Machine Learning Engineer to enhance our automated testing and validation processes. This pivotal role focuses on leveraging advanced machine learning techniques to refine our validation processes, significantly improving the efficiency and scalability of testing across extensive datasets where traditional methods fall short. By integrating real-world fleet logs and synthetic data, your contributions will directly influence the validation of software modifications, ensuring the safety and reliability of our robotaxi service. Your expertise will accelerate our validation process, empowering Zoox to innovate swiftly and effectively. As part of a forward-thinking organization with strong leadership and a culture of transparency and respect, you will have the opportunity to maximize your potential and advance your career through demonstrated performance.
About Zoox
Zoox is at the forefront of developing a comprehensive autonomous mobility solution designed specifically for urban landscapes. Our mission is to safely implement a revolutionary robotaxi service that transforms the way cities operate. With a commitment to innovation and excellence, we foster a work environment that encourages creativity, collaboration, and professional growth.
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