Staff Machine Learning Engineer, Edge AI/Model Optimization

Summary

Join Samsara's AI team as a Staff Machine Learning Engineer and build end-to-end AI solutions using petabyte-scale data. You will lead AI product initiatives on edge devices, develop tactical and strategic AI solutions, and collaborate with various teams. This remote position, open to Canadian residents, requires up to 5% travel. The role involves optimizing ML models for edge compute, working with large datasets, and prototyping new AI experiences. You will also mentor other engineers and champion Samsara's cultural principles. The salary range is $162,400-$223,300 CAD annually.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Health benefits
• Remote and flexible working