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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