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Senior Machine Learning Engineer - Platform

7 hours, 3 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
AWS Azure CI/CD Computer Vision Docker GCP Kubernetes Machine Learning
Apply Now
Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015
View All Jobs 322

Description

  • Lead the transition from fragmented, task-specific models to a modular unified perception platform.
  • Design and implement real-time ML systems for sensor ingestion, tracking, risk reasoning, and actuation.
  • Integrate models across edge and cloud environments, including versioning, rollouts, and fallback mechanisms.
  • Own end-to-end latency and reliability for safety-critical ML pipelines.
  • Profile, schedule, and optimize messaging and backpressure across the stack.
  • Build monitoring to detect model drift, false positives and negatives, and latency regressions.
  • Develop evaluation frameworks for rare long-tail safety events and define ship/no-ship metrics and test sets.
  • Partner with applied scientists to translate research outputs into production code that is performant, debuggable, and explainable.
  • Shape system abstractions early to reduce technical debt and improve scalability.
  • Mentor junior and mid-level engineers and help set standards for correctness and performance.

Requirements

  • 6+ years of experience in ML engineering with a track record of shipping production models.
  • Experience in safety-critical domains such as robotics, automotive, or industrial AI is preferred.
  • Deep understanding of distributed systems, performance profiling, and computer vision.
  • Experience with cloud ML workflows on AWS, GCP, or Azure.
  • Experience with containerization and an understanding of edge hardware constraints.
  • Ability to design systems and evaluate trade-offs between model complexity and operational reliability.
  • Ph.D. in Computer Science or a quantitative discipline such as Applied Math, Physics, or Statistics is preferred.
  • Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code frameworks is preferred.
  • Experience deploying and managing ML applications in cloud environments and using cloud services for storage, processing, and inference is preferred.
  • Experience building end-to-end ML applications from scratch is preferred.

Benefits

  • Annual base salary of $243,100 to $286,000 USD.
  • Initial RSU grant with no vesting cliff.
  • Ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
  • Above-market total compensation with base salary, performance-based bonus or variable pay, and equity for eligible roles.
  • Flexible, employee-led remote working model.
  • Professional development stipend.
  • Comprehensive health plans.
  • Comprehensive parental leave plans.

Interested in this position?

Apply directly on the company website

Apply Now

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