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Home›Jobs›Zoox›Senior/Staff 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

Senior/Staff Machine Learning Engineer - Perception Offline Driving Intelligence

Zoox • Boston, MA

Posted 3w agoSeniorLeadMachine learning engineer📍 Boston💰 USD229,000 - USD317,000 / year
Apply Now →

Skills & Technologies

PythonTensorFlowPyTorchMachine learningDeep learningComputer vision

Overview

Zoox is hiring a Senior/Staff Machine Learning Engineer to develop advanced multimodal large language models for their Offline Driving Intelligence team. You'll work with Python, TensorFlow, and PyTorch to enhance environmental understanding for autonomous systems in Boston.

Job Description

Who you are

You have 5+ years of experience in machine learning and artificial intelligence, with a strong focus on developing algorithms that understand complex environments. Your expertise in Python and deep learning frameworks like TensorFlow and PyTorch allows you to build and fine-tune large models effectively. You have a solid understanding of computer vision principles and are skilled in leveraging multimodal data to enhance model performance. You thrive in collaborative environments, working alongside engineers and researchers to validate algorithms in real-world conditions. Your problem-solving skills enable you to identify hazards and interpret driving restrictions with minimal latency, ensuring safety and efficiency in autonomous navigation.

Desirable

Experience with large-scale data processing and analysis is a plus, as is familiarity with sensor data integration. You may also have a background in robotics or autonomous systems, which would enhance your contributions to the team. A passion for innovation and a desire to impact the future of transportation will drive your success in this role.

What you'll do

As a Senior/Staff Machine Learning Engineer at Zoox, you will be responsible for developing advanced algorithms that enhance the environmental understanding of our self-driving robot. You will work closely with the Offline Driving Intelligence (ODIN) team to leverage large models for off-vehicle analysis, ensuring that our robotaxi platform can navigate complex environments safely and efficiently. Your role will involve fine-tuning multimodal large language models and collaborating with the onboard team to deliver impactful solutions. You will validate your algorithms using premium sensor data and cutting-edge infrastructure, directly influencing the productivity and safety of Zoox's autonomous systems. You will also engage in cross-functional collaboration, sharing insights and findings with other teams to drive continuous improvement in our technology.

What we offer

At Zoox, you will be part of a mission-driven team that is redefining transportation through innovative technology. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a dynamic environment that encourages creativity and collaboration, allowing you to make a meaningful impact on the future of mobility. Join us in our commitment to building safe and efficient autonomous systems that enhance the way people move around the world.

Interested in this role?

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