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Stelle
· Principal
Staff Machine Learning Engineer - Edge AI
AI / ML Engineer
• Principal
• Remote
• Vollzeit
•
EU/EMEA
Samsara's AI team builds end-to-end AI solutions for customers as well as core ML infrastructure; as a Staff ML Engineer you'll work with petabyte-scale sensor, diagnostic, video, and text data to deliver AI products optimized for edge devices.
Responsibilities
- ▹Lead design and implementation of critical AI product initiatives on edge devices
- ▹Develop both tactical AI solutions and longer-term research
- ▹Work with petabyte-scale customer data: text, transactions, diagnostics, sensor, camera, location
- ▹Partner across business units to prototype new AI experiences and optimize edge model performance
- ▹Stay connected to industry and academic research, adopting novel technology
Requirements
- ▹8+ years experience as a Machine Learning Engineer
- ▹Profound experience optimizing ML models and systems for edge compute constraints
- ▹Coding in Python or similar, plus C++ or Rust
- ▹Strong functional knowledge of the iterative ML product development process
- ▹Experience developing and shipping production code at large scale
- ▹Experience coaching and mentoring ML Engineers
Nice to have
- ▹Proficiency self-serving with data for experiments and large-scale model training
- ▹Established record of successful high-impact AI deliveries
- ▹Deep knowledge of state-of-the-art computer vision and multimodal models
Soft skills
Ability to distill ambiguous customer requirements into crisp problem definitionsStrong verbal and written communication to technical and leadership audiencesTeam player balancing independent and collaborative work
What we offer
- ▹Fully remote position (Canada), up to 5% travel
- ▹Initial RSU grant with no vesting cliff
About the company
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, turning IoT data into actionable insights for industries that depend on physical operations, including agriculture, construction, field services, transportation, and manufacturing.
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