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.
Audience building is a crucial aspect of effective marketing, especially in todays digital landscape where targeting specific groups of people is essential for success.
During project on-boarding process you will understand our products and services to easily identify the ideal customer persona, considering factors such as demographics, psychographics, and purchasing power.
Being part of an international company such as Samsung you will get to work on the most challenging projects with stakeholders and teams located around the globe.
You will deeply dive into Samsung Advertising Galaxy working with such exciting domains like bidding, pacing and performance-based advertising, as well as recommendations and churn prediction/prevention.
As a MLOps 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.
In conclusion, your responsibility will be designing, setting up and administering infrastructure for deploying, monitoring, and maintaining ML models.
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.
requirements-expected :
6+ years of industry experience with a Masters 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.
offered :
Friendly working atmosphere
Wide range of trainings and a huge support in developing algorithmic skills
Opportunity to work in multiple projects
Working with the latest technologies on the market
PC workstation/Laptop + 2 external monitors
OS: Linux, Windows
Private medical care (possibility to add family members for free)
Multisport card
Life insurance
Lunch card
A partial reimbursement of the cost of an English language course
Possibility to learn Korean for free
Variety of discounts (Samsung products, theaters, restaurants)
Unlimited free access to Copernicus Science Center for you and your friends
Possibility to test new Samsung products
Monthly integration budget
Office in Warsaw Spire near metro station
Attractive relocation package
Hybrid model: 3 days from the office per week
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
life insurance
corporate products and services at discounted prices
integration events
dental care
no dress code
leisure zone
pre-paid cards
baby layette
charity initiatives
unlimited free access to Copernicus Science Center
