About this role
About the Role Samsara's AI team builds end-to-end AI solutions for customers as well as core ML infrastructure. As a Staff Machine Learning Engineer, you will work 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. Travel up to 5% of the time. Relocation assistance will not be provided. What You'll Do
- 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. What We're Looking For
- Minimum requirements:
- 8+ years experience as a Machine Learning Engineer.
- Profound experience in optimizing ML models and systems for Edge compute constraints.
- 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.
- An ideal candidate also has:
- 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. Nice to Have
- Proficiency in self-serving with data for experiments and model training at scale.
- Established track record of high-impact AI deliveries.
- Deep knowledge in state-of-the-art Computer Vision and multi-model models. Compensation & Benefits
- Annual Base Salary CAD 170,400 – 234,300.
- This role is eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
- Total rewards include base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company.
- Learn more about our total rewards and benefits below.