Machine Learning Engineer
Job Description:
Samsung R&D Institute Ukraine is looking for a passionate and collaborative Machine Learning Engineer to join our team.
As a member of our team, you will participate in research & development of solutions in the field of Health and Fitness, using cutting edge machine learning approaches. The position will involve different aspects of R&D including – research, analysis, prototyping and development. By joining the team you’ll be able to affect millions of users of the world’s most advanced Samsung devices.
Key responsibilities:
- Drive deep learning R&D projects from design through implementation, deployment into production, and maintenance
- Implement data pipelines (feature engineering, data preprocessing, etc)
- Improving existing architectures
- Research activities and strategic prototyping for future Samsung products
Requirements:
- Deep understanding of a modern machine learning framework (TensorFlow, PyTorch, scikit learn)
- Strong background in Python language
- Experience with signal processing algorithms, deep learning approaches for signal processing tasks
- Solid knowledge of math and statistics
- Experience with self-supervised and unsupervised learning, zero-shot learning approach
- Experience with unbalanced data
- Experience with model optimizations for on-device inference
- Solid knowledge of modern architectures
- Good technical English
Desirable skills/expertise:
- Master/PhD in Computer Science or related field
- Experience with Android application development (Java, Kotlin)
- Experience in ML models deployment in Android (TFLite)
- Participation in ML/DL competitions (ex.: Kaggle), academic research, contribution to AI conferences
Working Conditions:
- employment - 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 children
- 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