About the role:

Samsara is looking for an experienced Machine Learning Engineer for our Machine Learning Engineering team. Our Machine Learning team is responsible for leading the teams that build and ship Samsara’s AI features, and the infrastructure that supports them. This includes computer vision, large language models, and multimodal machine learning on edge devices and in the cloud to support our rapidly growing footprint of customers. This organization is building the ML foundation to stay ahead of the needs of our expanding customer base and platform.

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:

• Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
• Partner with firmware teams to deploy AI models on edge devices
• Optimize models for inference on edge devices
• 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 office. 

Minimum requirements for the role:

• BS or MS in Computer Science or other relevant field
• 5 years experience as an Embedded Machine Learning Engineer, or similar role
• Proficiency with programming in embedded systems
• Strong proficiency in one or more common languages (e.g., C , Golang, Python) 
• Experienced working with ML framework like PyTorch, ONNX, Tensorflow on edge systems, understand common model optimization techniques like quantization, sparsification.
• Experience working on computer vision and media processing application on edge/mobile device
• Experience troubleshooting and debugging edge AI systems, addressing performance bottlenecks and issues

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience developing and implementing AI solutions for real-time processing on edge devices
• Experience collaborating with cross-functional teams to understand requirements and design efficient edge computing solutions
• Experience in large scale edge ML system rollout
• Experience in continuous improvement of edge AI models to enhance functionality and efficiency
• Experience in computer vision optimization on DSP
• Experience in power and thermal optimization on edge devices for ML applications