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Staff Machine Learning Engineer - Edge AI

San Francisco - SF9🌐 Remote💼 Full-time💰 $178,640–$178,640🗓 2026-06-22 → 2026-09-27

Core

Lead design and implementation of critical AI product initiatives on Edge devices, optimizing ML models for petabyte-scale sensor, video, and text data from physical operations customers.

Role type

Staff Machine Learning Engineer (Edge AI)

Builds

End-to-end AI solutions for Edge devices and core ML infrastructure for Samsara's Connected Operations platform.

Domain

IoT, Edge AI, Physical Operations (Agriculture, Construction, Transportation, Manufacturing)

Deliverable

production ML models | product features

Required skills

Edge compute optimization, Python, C++ or Rust, iterative ML product development, large-scale production code shipping, requirement distillation, technical mentoring

Preferred skills

Self-serving data for experiments, high-impact AI delivery record, Computer Vision, multi-model architectures

Technologies

Edge devices, petabyte-scale data pipelines, video/sensor/diagnostics systems

Responsibilities

Lead design and implementation of critical AI product initiatives on Edge devices; Develop tactical AI solutions and strategic research; Work with petabyte-scale data from customer operations; Partner across business units to prototype new AI experiences and optimize model performance; Stay connected to industry/academic research to adopt novel technologies; Champion and embed company cultural principles as the team scales globally

Seniority

Staff, hands-on IC with mentorship responsibilities

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