Manager, Applied Science

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 Manager II of Machine Learning Engineering, you will build and manage 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.

This is a remote role open to candidates residing in the US or Canada except the San Francisco Bay Area and NYC Metro Area.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have bold goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, problems, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Manage teams of engineers building ML infrastructure to scale our hybrid cloud-edge AI products
• Help drive long-term planning and establish scalable processes for execution
• Actively contribute to building the roadmap for AI 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 Values (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 manage 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 of relevant technical experience with ML infrastructure4+ years of relevant software engineering work experience2+ years of experience managing software and science teams including senior ICs
• Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement
• Comfortable managing infrastructure development in collaboration with scientists and researchers

An ideal candidate also has:

• MS or PhD in Computer Science or other technical degree
• Experience with state-of-art training frameworks, inference frameworks, and build tooling
• Experience building, deploying, and optimizing ML infrastructure that spans edge devices and the cloud
• Proven track record for innovation and delivering value to customers
• Demonstrated ability to build cross-functional consensus and drive cross-team collaboration