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Staff Machine Learning Engineer - Edge AI

2 months, 1 week ago
United States
Full-time
Lead
Embedded Systems Engineer
Artificial Intelligence and Machine Learning
Apache Spark C++ Computer Vision IoT Machine Learning Microservices Python Rust
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 270

Description

  • Lead the design and implementation of critical AI product initiatives on edge devices.
  • Develop tactical AI solutions and contribute to longer-term research efforts.
  • Work with petabyte-scale customer operations data, including text, transactions, diagnostics, sensor, camera, and location data.
  • Partner across business units to prototype new AI experiences and improve ML model performance on edge devices.
  • Collaborate closely with ML engineers, scientists, full-stack engineers, and firmware engineers to deliver product features, services, and optimizations.
  • Stay current with industry and academic research and adopt relevant new technologies.
  • Champion Samsara’s cultural principles as the company scales globally.

Requirements

  • 8+ years of experience as a Machine Learning Engineer.
  • Strong experience optimizing ML models and systems for edge compute constraints.
  • Proficiency with Spark, Ray, or a similar framework.
  • Coding experience in Python or similar languages.
  • Coding experience in C++ or Rust.
  • Strong understanding of the iterative machine learning product development process.
  • Experience developing and shipping production code at large scale.
  • Ability to translate ambiguous customer and business needs into clear problem definitions.
  • Strong verbal and written communication skills for both technical peers and leadership audiences.
  • Experience coaching and mentoring ML Engineers.
  • Experience self-serving data for experiments and model training at scale (preferred).
  • A track record of high-impact AI deliveries (preferred).
  • Deep knowledge of state-of-the-art computer vision and multimodal models (preferred).
  • Ability to work remotely in the United States and travel up to 5% of the time.
  • Relocation assistance is not provided for this role.

Benefits

  • Annual base salary range of $178,640 to $319,000 USD.
  • Eligible for an initial RSU grant with no vesting cliff.
  • Ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
  • Above-market total compensation including base salary, performance-based bonus/variable pay, and equity for eligible roles.
  • Flexible, employee-led remote work model.
  • Professional development stipend.
  • Comprehensive health plans.
  • Parental leave plans.

Interested in this position?

Apply directly on the company website

Apply Now

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