E-Space

AI / Embedded ML Engineer

Job Description

Posted on: 
2026-05-08

Responsibilities

  • Design and build data ingestion pipelines from various sensors.
  • Develop and train machine learning models for various tasks.
  • Optimize models for deployment on microcontrollers and edge processors.
  • Integrate ML inference into embedded firmware.
  • Document design decisions and prepare technical reports.
  • Collaborate with cross-functional teams including hardware and firmware engineers.
  • Provide technical support during system integration and testing.

Job Requirements

  • 2+ years of experience in machine learning engineering focused on embedded or edge ML.
  • Strong background in signal processing and real-time system constraints.
  • Proficiency in Python for ML development and experience with C/C++ for embedded systems.
  • Understanding of model optimization techniques.
  • Experience deploying models with embedded ML frameworks.
  • Excellent problem-solving skills and ability to work independently.
  • Familiarity with RTOS platforms and MCU families is a bonus.
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