Senior Machine Learning Engineer

About the project Samsung Ads is an advanced advertising ecosystem, spanning hundreds of millions of smart devices across TV, mobile, desktop, and beyond. The project we are recruiting for is focused on enabling brands to connect with Samsung TV audiences building the world's smartest advertising platform. We use machine learning algorithms for advertising campaigns to enhance targeting, personalization, and optimization. The goal is to deliver the right message to the right audience at the right time, resulting in higher engagement rates and conversion rates. As a machine learning engineer of the Samsung Ads team, you will have access to unique Samsung proprietary data to address existing product challenges and build end-to-end solutions with real-world impact. You will also work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies. You will play a crucial role in designing, building, and optimizing ML models and platform that supports the end-to-end ML lifecycle, from data ingestion and preparation to model training, deployment, and monitoring. By contributing to the development of high-quality ML models and platform, you will help to democratize access to ML capabilities, accelerate the pace of ML adoption, and foster collaboration among stakeholders. Role and Responsibilities Develop, test, deploy, and maintain data, scalable low-latency machine learning products and pipelines supporting ML products considering factors such as the nature of the data, the complexity of the problem, and the available computational resources. Validate the model's performance on unseen data, ensuring that it generalizes well and does not overfit the training data. Conduct rigorous testing to identify and address potential issues, such as bias or fairness concerns. Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and thousands of billions of daily batch predictions. Research the latest machine learning platform technologies pushing the boundaries of what is currently possible with ML and keep up-to-date with industry trends and developments. Experiment with new ML platforms tailored to our environment and create quick prototypes / proof-of-concepts. Streamline model deployment, unit testing, integration testing, and stress testing and ensure engineering quality. Support automation of the ML pipeline using CI/CD principles, promoting consistency, reproducibility, and agility. Work with Data Scientists to introduce new ML platform features, help streamline the model development process, and reduce the lead time for model production. Closely work with different internal ML teams (e.g., Data Scientists and MLOps teams) to improve codebase and product health. You will have a chance to technically lead a group of engineers, depending on your experience. Technologies in use Python (pandas, scikit-learn, matplotlib, etc.) TensorFlow PyTorch AWS (SageMaker) PySpark / Snowpark Snowflake (SQL) Github Actions Airflow Grafana Pytest, unittest Skills and Qualifications Degree in Computer Science or related field (Data Science, Big Data, Mathematics, Physics, etc.). At least 5 years of proven industry or research experience in data science-related and machine learning projects. Strong programming and algorithmics skills in Python, including experience with OOP. Advance knowledge of SQL and relational databases, ideally Snowflake. Expert knowledge of data analysis, statistics, data mining, machine learning or Big Data processing area. Experience with mainstream ML libraries (TensorFlow/PyTorch, Scikit-Learn, Pandas, 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 in an easy-to-follow manner (clear visualizations, results summary in spreadsheets, etc.). Good communication skills, ability to work in a Scrum team and leading projects. Openness to learn new technologies and adapt to technological stack. Nice to have Experience in the advertising industry, recommendation systems or real-time bidding (RTB) ecosystem. Experience in leading a group of developers in the past, success projects delivery history. 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 environment. 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. Proven research experience in recommendation systems, or AdTech industry. 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: Windows or 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 Working in a hybrid model: 3 days from the office per week o Attractive relocation package