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 serving 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.
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.
requirements-expected :
●6+ years of industry experience with a Masters 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.
offered :
Team:
● 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
● Possibility to attend local and foreign conferences
Equipment:
● PC workstation/Laptop + 2 external monitors
Benefits:
● 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
Location:
● 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
