Senior Machine Learning Engineer - Collision Avoidance System

Autonomous vehicle technology company developing self-driving vehicles for urban mobility
$150,000 - $250,000
Machine Learning
Senior Software Engineer
Hybrid
501 - 1,000 Employees
5+ years of experience
AI · Automotive · Robotics

Description For Senior Machine Learning Engineer - Collision Avoidance System

Zoox is revolutionizing the future of urban mobility through autonomous vehicle technology. As a Senior Machine Learning Engineer on our Collision Avoidance System team, you'll play a crucial role in developing and implementing safety-critical ML systems that protect our autonomous vehicles and their passengers.

You'll work with state-of-the-art technology and collaborate with world-class engineers and researchers to solve complex challenges in autonomous driving. Our team is focused on creating robust, reliable systems that can handle the complexities of urban environments while maintaining the highest safety standards.

The ideal candidate brings deep expertise in machine learning, particularly in areas relevant to autonomous systems and safety-critical applications. You'll have the opportunity to work on real-world problems that directly impact the safety and effectiveness of our autonomous vehicles.

At Zoox, we offer a collaborative environment where innovation is encouraged and your ideas can make a real difference. We provide competitive compensation, comprehensive benefits, and the chance to be part of a team that's shaping the future of transportation.

This role offers unique opportunities to:

  • Work with cutting-edge autonomous vehicle technology
  • Solve complex technical challenges in machine learning and robotics
  • Contribute to safety-critical systems that protect lives
  • Collaborate with experts across multiple disciplines
  • Impact the future of urban transportation

Join us in our mission to revolutionize transportation through safe, reliable autonomous vehicle technology. Your work will directly contribute to making autonomous vehicles a reality and creating a safer, more efficient transportation future.

Last updated a month ago

Responsibilities For Senior Machine Learning Engineer - Collision Avoidance System

  • Develop machine learning models for collision avoidance
  • Implement and optimize ML algorithms
  • Collaborate with cross-functional teams
  • Design and validate safety-critical systems
  • Contribute to the autonomous vehicle technology stack

Requirements For Senior Machine Learning Engineer - Collision Avoidance System

Python
Java
Linux
Kubernetes
  • Experience in machine learning and deep learning
  • Strong programming skills in Python and C++
  • Experience with autonomous systems
  • Background in computer vision or robotics
  • MS/PhD in Computer Science or related field

Benefits For Senior Machine Learning Engineer - Collision Avoidance System

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Competitive salary and equity package
  • Comprehensive health benefits
  • 401k retirement plan
  • Flexible work arrangements
  • Professional development opportunities

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