Senior Machine Learning Engineer

Who we are

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.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

The Samsara ML infrastructure 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.

This is a remote position for candidates based 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 ML APIs for seamless integration of machine learning models into cloud-based applications
• Build and maintain data pipelines to support the continuous training and improvement of machine learning models, contributing to the development of a data flywheel
• Implement support for A/B testing and online evaluation of machine learning models to facilitate rapid iteration and deployment
• Partner with firmware and full-stack teams to deploy model for optimal performance and cost
• Research and evaluate emerging technologies and methodologies in machine learning to drive innovation and improvement in our ML application systems
• 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:

• BS or MS in Computer Science or other relevant field
• 4+ years of experience as a Machine Learning Engineer 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