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Home›Jobs›Zoox›Machine Learning Engineer - Scene Understanding
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 - Scene Understanding

Zoox • Boston, MA

Posted 14h ago🏛️ On-SiteMid-LevelMachine learning engineer📍 Boston💰 $179,000 - $245,000 / year
Apply Now →

Skills & Technologies

PythonTensorFlowKeras

Overview

Zoox is seeking a Machine Learning Engineer for their Scene Understanding team to develop algorithms for autonomous vehicles. You'll work with Python and TensorFlow to ensure safe navigation in complex urban environments.

Job Description

Who you are

You have a strong background in machine learning and robotics, with experience in developing algorithms that interpret complex data. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build and optimize models for real-time applications. You understand the challenges of urban driving and are passionate about creating solutions that enhance safety and efficiency in autonomous systems. You thrive in collaborative environments, working closely with cross-functional teams to deliver impactful results. Your problem-solving skills enable you to tackle unpredictable scenarios, ensuring that autonomous vehicles can navigate safely through dynamic urban landscapes. You are committed to continuous learning and improvement, always seeking to enhance your technical skills and knowledge in the field of AI and robotics.

Desirable

Experience with real-time systems and optimization techniques is a plus. Familiarity with sensor data processing and computer vision will further strengthen your application. A background in working with autonomous vehicles or similar technologies will be highly regarded.

What you'll do

As a Machine Learning Engineer at Zoox, you will be responsible for developing advanced algorithms that enable our autonomous vehicles to understand their surroundings. You will work on translating sensor data into deep semantic understanding, ensuring that our vehicles can make human-level decisions in real-time. Your role will involve optimizing machine learning models for deployment on vehicle hardware, focusing on real-time inference and performance. You will collaborate with teams across Localization, Perception, Prediction, and Planning to create a seamless experience for riders. Your work will directly impact the safety and reliability of our autonomous systems, as you tackle challenges such as road closures, occlusions, and dynamic traffic controls. You will also engage in testing and validating your models in real-world scenarios, ensuring that they perform effectively under various conditions. Your contributions will be pivotal in enhancing the resilience of our vehicles against unexpected hazards, making urban driving safer for everyone.

What we offer

At Zoox, you will be part of a mission-driven team dedicated to revolutionizing urban mobility through autonomous technology. We offer a collaborative work environment where innovation is encouraged, and your ideas can make a real difference. You will have access to cutting-edge technology and resources to support your work. We believe in fostering a culture of growth and development, providing opportunities for you to expand your skills and advance your career. Our competitive compensation package reflects our commitment to attracting and retaining top talent in the industry. Join us in shaping the future of transportation and making a positive impact on urban living.

Interested in this role?

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