Machine Learning Engineer - Edge AI

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.

The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte‑scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally. You will work closely with ML Engineers and Scientists, as well as full‑stack and firmware engineers to deliver core product features, services and optimizations.

This is a remote position open to candidates residing in Canada. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.

• 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 across industries.
• You are a lifelong 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 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 optimise 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 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 optimising 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 ML 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…