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.
• Audience building is a crucial aspect of effective marketing, especially in today's 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.

Your responsibilities

• Design and develop highly scalable, real-time machine learning infrastructure with extremely high throughput and low latency conditions, to support the entire advertising business in Samsung.
• Explore and optimize our current machine learning serving system to ensure 5 nines uptime (continuous availability).
• Research the latest machine learning serving technologies and keep up-to-date with industry trends and developments.
• Experiment with new machine learning serving architecture ideas tailored to our environment and create quick prototypes/ proof-of-concepts.
• Collaborate with different internal ML teams (e.g., model engineers, ML platform, and MLOps) to build a world-class ML infra for advertising platform in the industry.
• 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.

Our requirements

• 6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree.
• Extensive industry experience in low latency, high throughput distributed microservices.
• Extensive experience with machine learning serving system design, architecture, real time monitoring/alerting components (e.g., Prometheus/ Grafana), and distributed cache systems (e.g., Redis/Aerospike).
• 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.).
• Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills.
• Knowledge on testing frameworks for online A/B testing, canary, blue-green deployment.
• Extensive programming experience in Python, Go or other OOP languages 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.

Optional

• Knowledge about ML serving technologies, such as Seldon, Triton, ONNX, ONCL, TensorRT.
• Knowledge about Amazon Web Services (AWS).
• Experience with the advertising industry and real-time bidding (RTB) ecosystem.
• Full stack experience with Ruby on Rails and React.

Technologies we use

What we offer

• 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