Senior Machine Learning Engineer - Platform

Samsara

Remote, US
Base: $243,100 - $286,000 usd; bonus/equity: rsu g...
Remote
Unified perception platform layer
Real-time ml systems design
Edge and cloud model orchestration
Samsara is seeking a Senior Machine Learning Engineer to lead the development of their Perception Platform Layer, focusing on building robust infrastructure for real-time decision-making in safety-critical applications. The position is remote and ideal for candidates with substantial experience in ML engineering, particularly in cloud and edge environments

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 early in the platform transition to minimize technical debt and maximize future scalability, while mentoring junior engineers on rigorous ML engineering standards.

Matching Summary

Match Score: 85

Samsara is seeking a Senior Machine Learning Engineer to lead the development of their Perception Platform Layer, focusing on building robust infrastructure for real-time decision-making in safety-critical applications. The position is remote and ideal for candidates with substantial experience in ML engineering, particularly in cloud and edge environments.

Salary

Base: $243,100 - $286,000 USD; Bonus/Equity: RSU grant with ongoing refresh opportunities; Benefits: Comprehensive health and parental leave plans, professional development stipend

Skills & Requirements

Must-have

  • Unified Perception Platform Layer
  • Real-time ML systems design
  • Edge and cloud model orchestration
  • End-to-end latency ownership
  • Model drift detection
  • Safety event evaluation frameworks

Nice-to-have

  • Growth mindset
  • Customer-centric approach
  • Team player
  • Continuous learning
  • Impactful industry work

Key Requirements

  • 6+ years ML Engineering experience
  • Production model shipping track record
  • Distributed systems mastery
  • Performance profiling expertise
  • Computer vision understanding
  • Cloud ML workflows experience
  • Edge hardware constraints understanding
  • Architectural system design

Work Rights

Not specified

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