About the role:
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.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
- You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
- You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
- You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.
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.
- 5+ 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.
- Proven experience with the E2E ML application development.
- Experience working in Agile/Scrum environments, with a solid understanding of software development lifecycle processes.
An ideal candidate also has:
- Experience leading a small cross-functional team to deliver new ML experiences.
- Experience building zero-to-one Generative AI applications.
- A passion for entrepreneurship and a commitment to enhancing the customer experience.
