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...

Overview

Zoox is seeking a Senior Machine Learning Engineer to contribute to their Perception team, focusing on the development of ML models for autonomous vehicle technology. You'll work on data gathering, labeling, training, and validation to enhance navigation capabilities. This role requires expertise in machine learning and related processes.

Job Description

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in developing and deploying ML models. Your expertise includes data gathering, labeling, and model training, and you understand the intricacies of integrating these models into complex systems. You are passionate about advancing autonomous vehicle technology and have a keen interest in perception mapping. Your collaborative spirit allows you to work effectively within a team, contributing to innovative solutions that enhance navigation and safety in autonomous systems.

You possess a solid understanding of the challenges associated with perception in autonomous vehicles, including detection, classification, and tracking systems. You are familiar with the latest advancements in machine learning frameworks and tools, and you are eager to apply your knowledge to real-world applications. You thrive in environments that require critical thinking and problem-solving skills, and you are committed to continuous learning and improvement in your field.

Desirable

Experience with online mapping initiatives or similar projects would be a plus. Familiarity with autonomous systems and their operational requirements can set you apart. You are comfortable working in a fast-paced environment and are adaptable to changing project needs. Your ability to communicate complex concepts clearly to both technical and non-technical stakeholders is essential.

What you'll do

As a Senior Machine Learning Engineer on the Perception team at Zoox, you will play a pivotal role in developing the understanding of the world for our self-driving robots. You will design, train, validate, and integrate ML models that detect semantic map elements, contributing directly to the success of our autonomous vehicle technology. Your work will involve all aspects of ML development, from data gathering and labeling to model training and validation. You will collaborate closely with other engineers and teams to ensure seamless integration of your models into the existing stack.

You will be responsible for identifying and addressing challenges in perception mapping, leveraging your expertise to enhance the capabilities of our autonomous systems. Your contributions will be critical in achieving important milestones related to scaling and autonomy. You will also have the opportunity to mentor junior engineers, sharing your knowledge and fostering a culture of learning within the team.

What we offer

At Zoox, you will be part of a mission-driven team dedicated to revolutionizing transportation through autonomous technology. We offer a collaborative work environment where innovation is encouraged, and your contributions will have a direct impact on the future of mobility. You will have access to cutting-edge tools and technologies, and we support your professional growth through continuous learning opportunities. Join us in shaping the future of autonomous vehicles and making a difference in the world.

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