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Home›Jobs›Zoox›Machine Learning Engineer - Perception Offline Driving Intelligence
Zoox

About Zoox

Revolutionizing transportation with autonomous vehicle technology

🏢 Tech, Automotive👥 1001+ employees📅 Founded 2014📍 Vintage Park, Foster City, CA💰 $1.2b⭐ 3.9
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...

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Zoox

Machine Learning Engineer - Perception Offline Driving Intelligence

Zoox • Boston, MA

Posted 3w agoMid-LevelMachine learning engineer📍 Boston💰 USD179,000 - USD245,000 / year
Apply Now →

Skills & Technologies

PythonTensorFlowKerasMachine learningComputer vision

Overview

Zoox is hiring a Machine Learning Engineer for their Offline Driving Intelligence team to develop advanced multimodal large language models for autonomous navigation. You'll work with Python, TensorFlow, and Keras to enhance environmental understanding in complex driving scenarios.

Job Description

Who you are

You have a strong background in machine learning and computer vision, with experience developing algorithms that understand complex environments. Your proficiency in Python and frameworks like TensorFlow and Keras allows you to build and fine-tune large models effectively. You are familiar with the challenges of real-time data processing and can optimize algorithms for minimal latency in autonomous systems.

You thrive in collaborative environments, working alongside engineers and researchers to validate your models using premium sensor data. Your ability to communicate complex technical concepts clearly helps you engage with cross-functional teams, ensuring that your contributions align with the overall goals of the project. You are passionate about leveraging AI to create impactful solutions in the field of autonomous driving.

Desirable

Experience with large-scale data processing and familiarity with robotics or autonomous systems would be beneficial. Knowledge of additional programming languages or tools related to AI and machine learning can enhance your candidacy. A proactive approach to problem-solving and a willingness to learn new technologies are highly valued.

What you'll do

As a Machine Learning Engineer on the ODIN team at Zoox, you will be responsible for developing algorithms that enhance the understanding of the environment for our self-driving robot. You will work on multimodal large language models, focusing on off-vehicle analysis to improve navigation capabilities. Your role will involve fine-tuning these models to ensure they can efficiently identify hazards and interpret driving restrictions.

You will collaborate closely with the onboard team to integrate your algorithms into the robotaxi platform, ensuring that they operate effectively in real-world conditions. Your work will directly impact the safety and efficiency of our autonomous systems, contributing to the overall productivity of Zoox's operations.

You will leverage cutting-edge infrastructure and premium sensor data to validate your algorithms, conducting experiments that test their performance in various scenarios. Your insights will help shape the future of autonomous driving technology, making it safer and more reliable for users.

What we offer

At Zoox, you will be part of a forward-thinking team that is dedicated to revolutionizing transportation through autonomous technology. We offer a collaborative work environment where innovation is encouraged, and your contributions will be recognized. You will have access to the latest tools and resources to support your work, along with opportunities for professional growth and development.

We believe in the importance of work-life balance and provide flexible working arrangements to accommodate your needs. Join us in our mission to create a safer and more efficient future for transportation, and be part of a team that is making a real difference in the world.

Interested in this role?

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