We are looking for a focused ML Engineer for Recommendation Systems to join our vibrant team at Samsung R&D Institute Poland in Polen.
Growing your career as a Full Time ML Engineer for Recommendation Systems is a fantastic opportunity to develop exceptional skills.
If you are strong in critical thinking, persuasion and have the right drive for the job, then apply for the position of ML Engineer for Recommendation Systems at Samsung R&D Institute Poland today!
TensorFlow (regular)
Keras (regular)
Pandas (regular)
PyTorch (regular)
AWS (regular)
Hadoop (regular)
PySpark (regular)
•Python (regular)
Machine Learning Engineer for Recommendation Systems in AI Team
About our Team
As one of the largest AI teams in Europe, we work with Big Data, recommendation systems, audio intelligence, computer vision, NLP, and more. We base our work on the latest methods of machine learning (including deep neural networks), extensive data resources and appropriate computing resources. We implement ready-made solutions into the products used by hundreds of millions of people all over the world. The results of our work get published, tested in international scientific contests, and deployed in products used by hundreds of millions of people worldwide.
Role and Responsibilities
· Developing machine learning models for recommendation systems, user profiling etc., in particular solutions based on Deep Neural Networks
· Developing data and model pipelines in AWS cloud environment
· Writing, deploying and monitoring production-level code
· Participating in preparation of proof of concepts, scientific publications and patent applications
Technologies in use
· Python
· Big Data & Cloud Technologies: PySpark, Hadoop, AWS
· ML/DL frameworks: PyTorch, Pandas, SciPy ecosystem, Keras, Tensorflow
· Linux with shell scripting
· Code versioning and CI/CD automation eg.: Git and GitHub Actions
Skills and Qualifications
· Good knowledge of Machine Learning models including Deep Learning architectures
· Very good programming skills for Machine Learning/Deep Learning development with Python, including Numpy, Pandas, Scikit-learn, PyTorch (preferred) or TensorFlow
· At least 2 year of professional experience with Big Data technologies such as a PySpark, Cloud Infrastructure and Linux OS
· At least 2 years of professional experience with development and deployment of Machine Learning systems in production including automation of data pipelines (operating at 100GB+ scale) with various data sources and formats (for example: json, csv, parquet) and Continuous Integration/ Deployment tools
· Degree in Computer Science, Mathematics, Physics, Statistics or related fields
· Good command of English in speech and writing
Nice to have
· Experience in recommendation systems and/or user profiling
· Experience with algorithms optimization (memory, processing speed, scalability, GPU)
· Scientific publications, active participation in conferences in the field of Artificial Intelligence
We offer
· Team:
o Friendly atmosphere focused on teamwork
o Wide range of trainings and a huge support in developing algorithmic skills
o Opportunity to work in multiple projects
o Working with the latest technologies on the market
o Monthly integration budget
o Possibility to attend local and foreign conferences
o Flexible working hours
· Equipment:
o PC workstation/Laptop + 2 external monitors
o OS: Linux
· Benefits:
o Private medical care (possibility to add family members for free)
o Multisport card
o Life insurance
o Lunch card
o Variety of discounts (Samsung products, theaters, restaurants)
o Unlimited free access to Copernicus Science Center for you and your friends
o Possibility to test new Samsung products
· Location:
o Office in Warsaw Spire near Metro station
o Attractive relocation package
Benefits of working as a ML Engineer for Recommendation Systems in Polen:
● Company offers great benefits
● Opportunities to grow
● Attractive package