Gridware

Senior Machine Learning Engineer - Circuit and Fault Intelligence

Gridware

Overview

Role involves developing ML models and data pipelines for event detection in electrical distribution systems.

Ideal candidate should have 5+ years of experience in designing and deploying ML systems in production.

120k usd / yearhybridseniorpermanentfull-timeEnglishPythonPyTorchTensorFlowScikit-learnXgboostSparkKafkaFlinkMLFlowFastAPIDockerKubernetes

Locations

  • United States, California, San Francisco

Requirements

  • 5+ years experience in ML systems
  • Proficiency in Python and ML libraries
  • Strong background in time-series analysis

Responsibilities

  • Design, train, and deploy ML models
  • Build end-to-end data and ML pipelines
  • Collaborate with hardware teams and product managers
  • Work with distributed streaming systems
  • Develop tools for continuous model evaluation
  • Lead adoption of scalable frameworks
  • Mentor junior engineers

Benefits

  • Health, Dental & Vision
  • Paid parental leave
  • Alternating day off
  • "Off the Grid" paid break
  • Commuter allowance
  • Company-paid training