Manager, Machine Learning Engineering

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations.
$150,535 - $253,000
Machine Learning
Staff Software Engineer
Remote
1,000 - 5,000 Employees
5+ years of experience
This job posting may no longer be active. You may be interested in these related jobs instead:
Research Scientist 4 - Content and Studio

Senior Research Scientist role at Netflix focusing on computer vision and machine learning for content promotion and studio operations.

Senior Staff Machine Learning Engineer, Relevance

Senior Staff Machine Learning Engineer position at Airbnb, focusing on search relevance and personalization, requiring 12+ years of ML experience.

Staff Software Engineer, AI for Dev Productivity

Lead AI initiatives for developer productivity at Airbnb as a Staff Software Engineer, focusing on AI-based tooling and infrastructure improvements.

Senior Staff Machine Learning Engineer, Security

Senior Staff ML Engineer role at Airbnb focusing on security, combining advanced machine learning expertise with information security to protect platform and users.

Description For Manager, Machine Learning Engineering

Samsara is seeking a Manager of Machine Learning Engineering to lead teams building end-to-end machine learning and computer vision solutions for our customers, as well as core ML infrastructure. In this role, you will manage teams applying computer vision, sensor fusion, and machine learning to recognize and surface relevant events to our customers. You'll 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 position offers the opportunity to make a real-world impact on industries that power our global economy, including agriculture, construction, field services, transportation, and manufacturing. You'll be working with a range of new and mature technologies, driving scalable innovation for customers across industries.

As an ideal candidate, you should have a strong technical background in ML infrastructure, experience managing software and ML teams, and a track record of building and deploying large-scale machine learning systems. You should be comfortable managing infrastructure development in collaboration with scientists and researchers, and have the ability to build cross-functional consensus and drive cross-team collaboration.

Samsara offers a competitive compensation package, including a base salary range of $150,535 - $253,000 USD, along with equity, bonuses, and comprehensive benefits. The company values diversity and inclusion, and welcomes applicants from all backgrounds.

Join Samsara to help shape the future of physical operations and be part of a team that's making a significant impact on the safety, efficiency, and sustainability of industries that are crucial to our global economy.

Last updated 5 months ago

Responsibilities For Manager, Machine Learning Engineering

  • 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 as we scale globally and across new offices
  • Hire, develop, and manage an inclusive, engaged, and high-performing team

Requirements For Manager, Machine Learning Engineering

Python
  • BS, MS, or PhD in Computer Science or other technical degree
  • 5+ years of relevant technical experience with ML infrastructure
  • 4+ years of relevant software engineering work experience
  • 2+ years of experience managing software and ML 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

Interested in this job?