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Manager, Machine Learning Engineering

Manager, Machine Learning Engineering
San Francisco, US
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Job Description

About the role:

The Samsara AI team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Manager of Machine Learning you will build and lead teams that apply computer vision, sensor fusion, and machine learning to recognize and surface relevant events to our customers. You will also be responsible for developing, deploying, maintaining, and improving AI solutions on devices and in the cloud

  • working closely with full-stack, firmware, and platform teams.

In this role, you will:

  • Lead teams of scientists and engineers working on CV, sensor fusion, and ML
  • Help architect, build, and improve solutions for hybrid cloud-edge ML
  • Actively contribute to building the roadmap for AI products at Samsara
  • Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
  • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
  • Hire, develop and lead an inclusive, engaged, and high performing team

Minimum requirements for the role:

  • BS, MS, or PhD in Computer Science or other technical degree
  • 5+ years relevant technical experience with AI systems
  • 4+ years relevant software engineering work experience
  • 2+ years of experience leading software and science teams including senior ICs
  • Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement
  • Comfortable leading full-stack / backend development in addition to science and research

An ideal candidate also has:

  • MS or PhD in Computer Science or other technical degree
  • Proven track record for innovation and delivering value to customers using AI
  • Customer orientation and intensive focus on improving the customer experience
  • Experience building, deploying, and optimizing AI systems than span edge devices and the cloud
  • Experience building products and solutions that rely on CV or sensor fusion
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