Machine Learning Engineer

We are looking for an experienced Machine Learning Engineer to join the innovative project at Samsung Electronics focused on on-device OCR solutions, which will be commercialized for worldwide use. The position involves research, analysis, prototyping, development, and commercialization. The work process will include cutting-edge and state-of-the-art technologies, critical thinking, and the ability to influence and shape the final product.

 

Responsibilities:
 

  • Research and development of NN models
  • Porting NN models to NPU
  • Participate in code review and contribute to our coding standards and best practices
  • Stay up-to-date with the latest Image Processing ML trends

 

Job Qualification:
 

  • BS/MS/Ph.D. in Computer Science/ Software Engineering or a related field
  • 3+ years of professional experience in commercial software development
  • Experience with TensorFlow or PyTorch for ML models prototyping (visual and/or data series recognition)
  • Experience in implementing machine learning algorithms, data processing, NN model performance measuring
  • Python for prototyping and/or ML scripts development
  • Experienced with Linux

 

Will be a plus:
 

  • Experience in OCR
  • Experience in C++ development
  • Experience with performance optimization
  • Experience with NPU(Neural Processing Unit) and models optimization for on device inference (TFLite, ONNX-runtime, etc...)
  • Experience with Tizen SDK
  • Experience with OpenCV or similar libraries
  • Participation in CV/ML/DL-intensive research (papers, patents, etc...)
  • PhD in Computer Science or related field

 

Working Conditions:
 

  • GIG contract
  • remote work is possible as well as work in Kyiv office
     

Benefits:
 

  • competitive salary, annual salary review, annual bonuses
  • paid 28 work days of annual vacations and sick leaves
  • opportunity to become an inventor of international patents with paid bonuses
  • medical & life insurance for employees and their childrens
  • paid lunches
  • discounts to Samsung products, services
  • regular education and self-development on internal courses and seminars
  • hybrid work format, working in office is required for some tasks
Published 5 June
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