Machine Learning Intern (PhD)

About the role:

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

The Summer 2024 role will be based in our San Francisco office.

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 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, we’re all racing toward our connected operations vision, and we intend to win—together.

Click here to learn about what we value at Samsara. 

In this role, you will: 

• Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
• Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
• Optimize models for inference on the backend and/or on edge devices
• Partner with hardware and full-stack teams to deploy model for optimal performance and cost
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
• Collaborate with PM to translate customer needs to ML solutions
• 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:

• Currently pursuing a Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• BS or MS in Computer Science or other relevant field
• Proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala)
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience building, deploying, and optimizing ML models on the edge
• Experience building end-to-end ML applications from scratch
• Expertise in optimizing distributed model training with GPUs