Internship - Machine Learning Intern in Samsung Ads project

Join our Team! 

We are looking for a Machine Learning Intern in Samsung Ads project

• Gain in-depth knowledge about using ML methods in AdTech industry needed to perform given tasks.
• Assist in developing, testing, deploying, and maintaining machine learning products and pipelines.
• Work together with Data Scientists, ML and MLOps Engineers. You will take active part in meetings, report your findings and discuss them.
• Make in-depth and in-broad analysis based on the results obtained by other team members
• Monitor and analyze system logs to evaluate model performance, document insights and report problems.
• Assist in the maintenance of code quality by adding unit tests and ensuring overall system reliability.
• Create queries to analyze data stored in the database and prepare comprehensive reports.
• Utilize project management tools, such as Jira, to monitor progress and document findings effectively.

• Python (pandas, scikit-learn, matplotlib, etc.)
• SQL (Snowflake)
• Github
• TensorFlow/PyTorch
• AWS (SageMaker)
• PySpark / Snowpark
• Airflow
• GitHub Actions
• Pytest / unittest

• Student of Computer Science or related field (Data Science, Big Data, Mathematics, Physics, etc.).
• Programming skills in Python and data-science libraries (pandas, scikit-learn).
• Knowledge of SQL and relational databases, ideally Snowflake.
• Knowledge of data analysis, statistics, data mining, machine learning or Big Data processing area.
• Experience with mainstream ML libraries (TensorFlow/PyTorch, Scikit-Learn, PySpark etc.).
• Familiarity with data structures, CI/CD pipelines, software engineering principles and robust code testing.
• Collaborating in a team using code versioning tools like Git.
• Ability to summarize and present the finding results to business/product stakeholders.
• Openness to learn new technologies and adapt to technological stack.

• Industry experience in machine learning projects.
• Familiarity with AWS tools (e.g. Airflow, SageMaker), Snowflake, Redis, Aerospike, ETL or big data tools (PySpark/Snowpark, Docker, Kubernetes, etc.)
• Experience with deploying ML models in production.
• Experience with Infrastructure as Code (Terraform), orchestration tools (Airflow), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting frameworks such as Prometheus and Grafana.

Internship conditions:

• Competitive salary
• Flexible working hours
• Possibility of long lasting cooperation

Team:

• Possibility to learn from world-class experts in a friendly atmosphere
• Opportunity to work in multiple projects
• Weekly developers’ meetups named BUG about newest trends (frameworks, skills etc.)
• Monthly integration budget

Equipment:

• PC workstation + 2 external monitors
• OS: Linux, Windows

Benefits:

• Variety of discounts (Samsung products, theaters, restaurants)
• Free access to Copernicus Science Center for you and your friends
• Chillout rooms
• Variety of tea, coffee and fresh fruits/vegetables

Location: