Senior Machine Learning Engineer - Platform

Samsara

Remote, US
$157,250—$203,500 cad; not specified; not specifie...
Remote
Unified perception platform layer
Real-time ml systems
Edge and cloud environments
Samsara is seeking a Senior Machine Learning Engineer to lead the architectural evolution of their safety systems, focusing on developing a unified Perception Platform Layer. This remote role emphasizes building robust infrastructure for real-time decision-making in safety-critical environments, requiring a strong background in machine learning and distributed systems

Job Summary

  • Lead the architectural evolution of safety systems by building a unified Perception Platform Layer that translates raw sensor data into real-time, high-stakes decisions.
  • Own end-to-end latency and reliability for safety-critical pipelines, building sophisticated monitoring for deployed models and closing the loop with production data.
  • Shape system abstractions to minimize technical debt and maximize future scalability, while mentoring junior engineers to set the standard for rigorous ML engineering.

Matching Summary

Match Score: 85

Samsara is seeking a Senior Machine Learning Engineer to lead the architectural evolution of their safety systems, focusing on developing a unified Perception Platform Layer. This remote role emphasizes building robust infrastructure for real-time decision-making in safety-critical environments, requiring a strong background in machine learning and distributed systems.

Salary

$157,250—$203,500 CAD; Not specified; Not specified

Skills & Requirements

Must-have

  • Unified Perception Platform Layer
  • Real-time ML systems
  • Edge and cloud environments
  • End-to-end latency ownership
  • Safety-critical pipelines
  • Model drift detection
  • Evaluation frameworks for rare events

Nice-to-have

  • Impact on industries powering the world
  • Build for scale with 2.3M+ devices
  • Growth mindset and continuous learning
  • Customer closeness and outcome focus
  • Team player with collaborative spirit

Key Requirements

  • 6+ years ML Engineering experience
  • Proven track record shipping production models
  • Deep understanding of distributed systems
  • Proficiency in performance profiling
  • Expertise in computer vision
  • Experience with Cloud ML workflows
  • Understanding of edge hardware constraints

Work Rights

Not specified

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