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Senior Machine Learning Engineer - Simulation Scenario Generation

ZooxFoster City, CA
On-site Full-time

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Experience Level

Senior

Qualifications

Candidates should possess a Master's or PhD in Computer Science, Engineering, or a related field, with strong expertise in machine learning algorithms and software development. Proficiency in programming languages such as Python or C++ is essential, along with experience in developing scalable solutions for complex systems. Familiarity with natural language processing and simulation frameworks is a plus. The ideal candidate will have excellent problem-solving skills, a collaborative mindset, and a passion for cutting-edge technology in the automotive sector.

About the job

Are you passionate about leveraging machine learning to solve intricate challenges in the realm of autonomous vehicle testing? Join our Simulation Scenario Generation team at Zoox, where we are seeking a skilled Machine Learning Engineer to drive the development of innovative, scalable workflows for creating autonomous vehicle scenarios. Your work will encompass the generation of extensive traffic simulations and the enhancement of our intelligent AI systems to facilitate the creation of synthetic scenarios derived from natural language test specifications. This role presents a unique opportunity to make a significant impact on user experience while playing a vital role in advancing AI-driven safety validation for autonomous vehicles.

About Zoox

At Zoox, we are reimagining mobility from the ground up. Our mission is to develop fully autonomous vehicles that enhance the way people move in urban environments. We believe in creating a more sustainable, efficient, and safe transportation system. As a pioneer in the autonomous vehicle industry, Zoox is committed to innovation, collaboration, and excellence. Join us in shaping the future of transportation!

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