E-Space

Sr. AI / Embedded ML Engineer

Job Description

Posted on: 
2026-04-17

Responsibilities

  • Develop and build data ingestion pipelines from various sensors.
  • Create and manage training datasets at scale.
  • Train machine learning models for various tasks and evaluate model performance.
  • Optimize models for deployment on microcontrollers and edge processors.
  • Integrate ML inference into embedded firmware.
  • Collaborate with hardware and firmware teams for system optimization.
  • Document design decisions and prepare technical reports.

Job Requirements

  • 5+ years of experience in machine learning engineering, with 2 years in embedded or edge ML.
  • Strong background in signal processing and real-time systems.
  • Proficiency in Python and experience with ML frameworks.
  • Experience with C or C++ for embedded systems development.
  • Knowledge of model optimization techniques.
  • Familiarity with embedded ML frameworks.
  • Excellent problem-solving skills and ability to work collaboratively.
Apply now

More job openings