Senior Machine Learning Engineer

About the role:

The Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer II, 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.

This is a remote position open to candidates residing in the US. 

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.

In this role, you will: 

• Design and implement scalable machine learning infrastructure using Ray to support model training, deployment, and inference at scale.
• Leverage Kubernetes for orchestration of containerized applications, ensuring seamless deployment, scaling, and management of ML models and associated services.
• Develop and maintain CI/CD pipelines for automated testing, deployment, and management of ML applications and infrastructure.
• Implement robust monitoring, logging, and alerting systems to ensure high availability, performance, and security of the ML platform.
• Collaborate with data scientists and ML engineers to optimize data pipelines and model performance.
• Stay abreast of the latest advancements in machine learning technologies and infrastructure, and advocate for the adoption of best practices and new technologies within the team.
• Provide DevOps/SRE support for the ML platform, including incident response, performance tuning, and disaster recovery planning.
• 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:

• BS or MS in Computer Science or other relevant field.
• 6+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role.
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala).
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch).
• Experience deploying and iteratively refining models using customer feedback loops.
• 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.