Edge AI Staff ML Engineer — Remote Canada

Samsara; North Vancouver; Remote; CAD 170,000 - 234,000; Full time

Job summary

Samsara in Canada is seeking a Staff Machine Learning Engineer to design and implement AI features on edge devices, working with petabyte-scale sensor, video and text data to solve real-world problems for Physical Operations customers. This remote role allows candidates across Canada and requires up to 5% travel; relocation support will not be provided.

You will collaborate with ML engineers, scientists, and hardware teams to deliver production-grade systems and stay at the forefront of AI

Qualifications

• 8+ years experience as a Machine Learning Engineer.
• Proficient in optimizing ML models and systems for edge compute constraints.
• Proficient in Python; strong knowledge of C++ or Rust.
• Experience 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.

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

Skills

Python

C++

Rust

Edge compute

Machine Learning Engineer

Job description

Samsara in Canada is seeking a Staff Machine Learning Engineer to design and implement AI features on edge devices, working with petabyte-scale sensor, video and text data to solve real-world problems for Physical Operations customers. This remote role allows candidates across Canada and requires up to 5% travel; relocation support will not be provided.

You will collaborate with ML engineers, scientists, and hardware teams to deliver production-grade systems and stay at the forefront of AI