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Embedded Machine Learning Engineer

Pittsburgh, PA, USA | Honeywell

  • Industry:
    Manufacturing (Heavy Industry)
  • Position Type:
  • Functions:
  • Experience:
    1-3 years
Job Description:
109 people have viewed this job

We’re looking for a new senior team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning. You will have endless opportunities to progress your career as you develop new offerings that impact a wide range of industries, improve the quality of life, and truly change the world.

As an Embedded Machine Learning Engineer with Honeywell, this is your opportunity to develop and implement machine learning models optimized for inferencing on embedded platforms to address unusual and complex problems for the variety of breakthrough solutions.


Master’s or PhD degree in Data Analytics, Statistics, Computer Science, Engineering, or Applied Mathematics

2+ years practical experience in developing, optimizing performance and implementing predictive machine learning models within computer vision and video analytics domains.

Practical experience implementing ML models on the edge using deep learning inference engines including TensorRT, OpenVINO, and Qualcomm Neural Processing SDK

3+ years of experience programming in Python


Understanding of modern SoC architectures.

A deep understanding of big data concepts and knowledge of big data languages/tools.

Exceptional data science skills, including a deep understanding of statistics, probability, and algorithms that enable you to quickly come up with solutions that combine multiple information streams.

Experience working with remote and global teams

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