Staff Machine Learning Engineer - Edge AI
Core
Lead design and implementation of critical AI product initiatives on Edge devices, working with petabyte-scale sensor, diagnostic, video, and text data to solve problems for Physical Operations customers globally.
Role type
Staff Machine Learning Engineer (Edge AI)
Builds
Core product features, services, and optimizations for IoT devices in physical operations (agriculture, construction, field services, transportation, manufacturing).
Domain
IoT / Edge AI / Physical Operations
Deliverable
production ML models
Required skills
ML model optimization for Edge compute constraints, distributed computing frameworks (Spark, Ray), Python, C++ or Rust, iterative ML product development, large-scale production code shipping, requirement distillation, technical mentoring.
Preferred skills
Self-serving data for experiments and model training at scale, high-impact AI delivery record, state-of-the-art Computer Vision, multi-model architectures.
Technologies
Spark, Ray, Python, C++, Rust
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 as the team scales globally.
Seniority
Staff, hands-on IC with mentorship responsibilities
