Revolutionizing transportation with autonomous vehicle technology
Zoox, headquartered in Foster City, CA, is pioneering autonomous vehicle technology with a unique driverless ecosystem. The company has raised $1.2 billion in Series B funding and employs over 1,000 people. Its innovative vehicle design, revealed in December 2020, features independent wheels and a b...
Zoox offers work-from-home opportunities, comprehensive health insurance, and generous paid parental leave. Employees enjoy unlimited flexible paid ti...
At Zoox, the culture is centered around innovation in autonomous transportation, with a focus on safety and enjoyment. The company promotes a collabor...
Zoox • Foster City, CA
Zoox is hiring a Senior Machine Learning Engineer to work on simulation scenario generation for autonomous vehicle testing. You'll apply machine learning techniques to create scalable traffic simulations and enhance AI systems. This role requires expertise in Python and machine learning frameworks.
You have 5+ years of experience in machine learning and a strong background in applying ML techniques to real-world problems, particularly in the context of autonomous vehicles. You are proficient in Python and have hands-on experience with machine learning frameworks such as TensorFlow and PyTorch. Your understanding of simulation and scenario generation is complemented by your ability to work with complex datasets and algorithms. You thrive in collaborative environments and enjoy contributing to projects that have a tangible impact on safety and performance.
Experience with natural language processing and its application in scenario generation is a plus. Familiarity with autonomous vehicle testing and validation processes will help you excel in this role. You are comfortable working in a fast-paced environment and are eager to tackle challenging problems with innovative solutions.
As a Senior Machine Learning Engineer at Zoox, you will be part of the Simulation Scenario Generation team, focusing on developing scalable workflows for creating traffic simulations. You will leverage your machine learning expertise to enhance our agentic AI system, enabling it to assist in generating synthetic scenarios from natural language specifications. Your role will involve collaborating with cross-functional teams to ensure that the scenarios you create are robust and effective for testing autonomous vehicles. You will also be responsible for analyzing the performance of the simulations and iterating on your designs based on feedback and testing results.
You will have the opportunity to contribute to the long-term vision of AI-driven safety validation, ensuring that our autonomous vehicles can navigate complex environments safely and efficiently. Your work will directly impact the user experience and the overall safety of our vehicles, making this a highly rewarding position.
At Zoox, we offer a dynamic work environment where innovation is encouraged. You will be part of a team that is dedicated to pushing the boundaries of technology in the autonomous vehicle space. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to redefine transportation and create a safer future for everyone.
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