
About Zoox
Revolutionizing transportation with autonomous vehicle technology
Key Highlights
- Raised $1.2 billion in Series B funding
- Headquartered in Foster City, CA with 1001+ employees
- Innovative vehicle design with independent wheels and no front/back
- Part of a $2 trillion industry projected by 2030
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...
🎁 Benefits
Zoox offers work-from-home opportunities, comprehensive health insurance, and generous paid parental leave. Employees enjoy unlimited flexible paid ti...
🌟 Culture
At Zoox, the culture is centered around innovation in autonomous transportation, with a focus on safety and enjoyment. The company promotes a collabor...

Machine Learning Engineer • Mid-Level
Zoox • Foster City - On-Site
Skills & Technologies
Overview
Zoox is hiring a Learned Trajectory Machine Learning Engineer to develop ML algorithms that predict vehicle behaviors. You'll work closely with various teams to enhance vehicle performance using deep learning techniques. This position requires experience in machine learning and collaboration across engineering disciplines.
Job Description
Who you are
You have a strong background in machine learning, particularly in developing algorithms that can learn and predict behaviors from data. Your experience includes working with deep learning models, and you are comfortable collaborating with cross-functional teams to integrate these models into vehicle systems. You understand the importance of behavior forecasting and motion planning in the context of autonomous vehicles, and you are eager to contribute to advancements in this field.
You possess excellent problem-solving skills and can effectively communicate complex technical concepts to both technical and non-technical stakeholders. Your collaborative spirit drives you to work closely with teams such as Planning, Perception, and Systems Engineering to validate and enhance driving performance. You are passionate about leveraging data to improve vehicle behavior and are excited about the challenges that come with this role.
What you'll do
As a Learned Trajectory Machine Learning Engineer, you will be responsible for developing deep learning models that produce trajectories for vehicles. This involves working closely with the Prediction & Behavior ML team to ensure that the algorithms you create can effectively influence driving behavior both on-vehicle and off-vehicle. You will collaborate with the Planner team to integrate behavior forecasting with motion planning, ensuring a seamless interaction between these critical components.
Your role will also involve validating the performance of the models you develop, requiring you to work alongside the Perception and Simulation teams. You will engage in rigorous testing and validation processes to ensure that the algorithms perform reliably in real-world scenarios. You will have the opportunity to contribute to the overall advancement of vehicle behavior, making a significant impact on the future of autonomous driving.
What we offer
At Zoox, you will be part of a pioneering team that is redefining transportation through innovative technology. We offer a collaborative work environment where your contributions will directly influence the development of autonomous vehicles. You will have access to cutting-edge tools and resources to support your work, as well as opportunities for professional growth and development within the company. Join us in our mission to create safer and more efficient transportation solutions.
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