About the role:
The LLM and Agents builds end-to-end ML applications to power intelligent experiences at Samsara. As a Machine Learning Engineer you will be responsible for developing ML and generative AI solutions to enhance the safety efficiency and sustainability of physical operations. You will work closely with science and engineering teams across ML full-stack and firmware as well as cross-functional partners to deliver core infrastructure applications and services.
This is a remote position open to candidates based in the United States.
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 impacthelping 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 worlds physical operations.
- You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies challenges 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 were all racing toward our connected operations vision and we intend to wintogether.
In this role you will:
- Lead zero-to-one AI initiatives collaborating with cross-functional teams to develop innovative AI products from scratch.
- Apply cutting-edge technologies including generative AI and LLMs leveraging the latest industry and academic research.
- Design build and optimize ML systems ensuring scalability and efficiency across the end-to-end pipeline.
- Champion role model and embed Samsaras 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:
- 5 years experience as an Machine Learning Engineer Applied Scientist or similar role
- BS or MS in Computer Science or another quantitative field
- Strong proficiency in one or more common languages (e.g. Python Java C Golang)
- Proficiency with common ML tools and frameworks (e.g. PyTorch TensorFlow Spark)
- Experience building applications with LLMs / MLLMs
- Proven experience with the E2E ML application development
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
- Experience modeling with a variety of data types including sensor data
Required Experience:
Senior IC