Zoox

About Zoox

Revolutionizing transportation with autonomous vehicle technology

🏢 Tech, Automotive👥 1001+ employees📅 Founded 2014📍 Vintage Park, Foster City, CA💰 $1.2b3.9
B2CArtificial IntelligenceCarsTransportElectric VehiclesAutomation

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...

Skills & Technologies

Overview

Zoox is hiring a Senior/Staff Machine Learning Engineer to enhance 3D simulation capabilities. You'll work with cutting-edge machine learning techniques and 3D vision to create realistic simulations. This role requires expertise in machine learning and a passion for innovative technology.

Job Description

Who you are

You have a strong background in machine learning, particularly in the realm of 3D vision — you've applied advanced algorithms to create realistic simulations and understand the nuances of blending virtual and real-world environments. Your experience includes working with diverse datasets and leveraging the latest research to drive innovation in simulation technology.

You are proficient in developing and validating machine learning models — you have a track record of deploying algorithms that enhance the realism of simulations and improve user experiences. Your technical skills are complemented by your ability to collaborate with cross-functional teams, ensuring that your contributions align with broader project goals.

You thrive in environments that challenge your creativity and technical expertise — you enjoy pushing the boundaries of what's possible in simulation and are eager to explore new methodologies and technologies. Your passion for continuous learning keeps you at the forefront of advancements in machine learning and 3D technologies.

What you'll do

As a Senior/Staff Machine Learning Engineer at Zoox, you will lead efforts to integrate cutting-edge machine learning techniques into our 3D simulation projects. You will work closely with the 3D Simulation group to develop algorithms that generate rich and diverse environments, enhancing the realism of our simulations.

You will have access to the best sensor data available, allowing you to validate and refine your models effectively. Your role will involve collaborating with other engineers and researchers to ensure that the algorithms you develop not only meet technical specifications but also contribute to the overall vision of the project.

You will be responsible for designing experiments to test the effectiveness of your algorithms, analyzing results, and iterating on your designs based on feedback and performance metrics. Your contributions will directly impact the quality and diversity of the simulations we create, blurring the line between simulation and reality.

What we offer

At Zoox, you will be part of a dynamic team that is dedicated to revolutionizing the way we think about 3D simulations. We offer a collaborative work environment where innovation is encouraged, and your ideas can make a real difference. You will have the opportunity to work with state-of-the-art technology and contribute to projects that are at the forefront of the industry.

We believe in fostering a culture of growth and development, providing you with the resources and support you need to advance your career. Join us in our mission to create the most advanced and realistic simulations in the world.

Interested in this role?

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