Staff Machine Learning Engineer- Edge AI

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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.

Lead design and implementation of critical AI product initiatives on Edge devices.
Develop both tactical AI solutions as well as more strategic and longer term research.
Work with petabyte-scale data from customer operations including text, transactions, diagnostics, sensor, camera, and location data.
Partner across business units to explore and prototype new AI experiences and optimize the ML model performance on edge devices.
Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
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

8+ years experience as a Machine Learning Engineer.
Profound experience in optimizing ML models and systems for Edge compute constraints.
Proficient with Spark, Ray, or a similar framework.
Coding in python or similar.
Coding in C++ or Rust.
Strong functional knowledge of the iterative machine learning product development process.
Experienced in developing and shipping production code at large scale.
Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions.
Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge.
Experience coaching and mentoring ML Engineers.

Proficiency in self-serving with data for experiments and model training at scale.
An established record of successful high impact deliveries in AI.
Deep knowledge in state of the art Computer Vision and multi-model models.

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