Machine Learning Engineer

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. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

The Samsara ML Experience team builds end-to-end ML applications to power various product pillars at Samsara. As an Applied Scientist, you will be responsible for developing ML solutions to enhance the safety, efficiency and sustainability of physical operations. You will work closely with engineering teams across ML, full-stack, and firmware, as well as cross-functional partners to deliver core infrastructure, services, and optimizations.

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

In this role, you will:

• Drive zero-to-one new ML initiatives in collaboration with cross-functional partners.
• Stay connected to industry and academic research, adopting novel technologies that suit Samsara's needs.
• Design, develop, and optimize services and system components across the end-to-end ML pipeline.
• 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.

Minimum requirements for the role:

• Advanced degree in Computer Science, Engineering, or related field.
• 2+ years of experience as a Machine Learning Engineer, or similar role.
• Strong proficiency in one or more common languages (e.g., Python, C++, Golang, Java).
• Proficiency with common ML tools and frameworks.
• Comfortable with full-stack/backend development.
• Experience working in Agile/Scrum environments, with a solid understanding of software development lifecycle processes.

An ideal candidate also has:

• Experience building end-to-end ML applications from scratch.
• Experience with Generative AI.
• A passion for entrepreneurship and a commitment to enhancing the customer experience.