ML Platform Engineer

About our Team Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team. Role and Responsibilities ● Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions. ● Build a world-class ML platform tailored for Samsung's ML based advertising business, which can significantly improve the lead time for model end-to-end development and deployment process. ● Research the latest machine learning platform technologies in the industry and create quick prototypes / proof-of-concepts. ● Closely work with different internal ML teams (e.g., ML serving and MLOps teams) to improve our codebase, product health, and ensure the best engineering quality ● Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives. ● Mentor junior engineers and provide technical guidance. ● Learn quickly and adapt to a fast-paced working environment. Skills and Qualifications ● 6 years of industry experience with a Master's degree or 3 years of industry experience with a PhD degree. ● Extensive industry experience with Infrastructure as Code (Terraform), orchestration tools ( Airflow, AWS Step/Lambda), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting framework such as Prometheus and Grafana. ● Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.). ● Hands-on experience with machine learning related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). ● Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills. ● Extensive programming experience in Python, Go or other OOP languages, SQL and database, and familiarity with data structures, algorithms and software engineering principles. ● Strong communication and interpersonal skills to drive cross-functional partnerships. ● Ability to work in a fast-paced environment, quickly debug issues, provide proof-of-concept solutions and apply the changes to production. Nice to have: ● Extensive experience with Snowflake, Snowpark, and Redis/Aerospike. ● Knowledge about Amazon Web Services (AWS). ● Experience with the advertising industry and real-time bidding (RTB) ecosystem. We offer Team: o Friendly working atmosphere 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 Possibility to attend local and foreign conferences Equipment: o PC workstation/Laptop 2 external monitors Benefits: o Private medical care (possibility to add family members for free) o Multisport card o Life insurance o Lunch card o A partial reimbursement of the cost of an English language course o Possibility to learn Korean for free 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 o Monthly integration budget Location: o Office in Warsaw Spire near metro station o Attractive relocation package o Hybrid model – 3 days from the office per week