Samsung R&D Institute Poland

About our Team

As one of the largest AI teams in Europe, we work with the latest methods of machine learning (including deep neural networks), extensive data resources and appropriate computing resources. The results of our work get published, tested in international scientific contests, and deployed in products used by hundreds of millions of people worldwide.

Samsung Ads is an advanced advertising technology that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by 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 the most challenging projects with stakeholders and teams located around the globe.

In Samsung Ads Project we work in close collaboration with HQ in Silicon Valley on AI models generating campaign audiences for content providers. Our role is to deliver new features and enhance the whole model pipeline: from data preprocessing, through modeling, to serving output for specific campaigns.

As a machine learning model 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 growing team. You will lead an existing team in our R&D in Warsaw.

Role and Responsibilities

  • Development of Machine Learning models for audience building and/or user profiling (research as well as production-grade code base)
  • Design, set up and maintenance of data and ML pipelines with MLOps tools, including analysis, exploration and processing of various data types
  • Lead a team to deliver production-grade machine learning solutions with notable business impact from end to end
  • Contribution to project planning
  • Continuous knowledge development, tracking and implementation of the latest trends
  • Contribution to creation of innovative technology by means of development of prototypes, proof of concepts, scientific publications and/or patent applications
  • Delivering functional and technical documentation
  • Communicate with various stakeholders to understand business requirements, manage expectations and create effective roadmaps

Technologies in use

  • Python
  • Airflow
  • AWS (including Airflow and SageMaker)
  • TensorFlow
  • PyTorch

Team:

  • Friendly atmosphere focused on teamwork
  • 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
  • Monthly integration budget
  • Possibility to attend local and foreign conferences
  • Flexible working hours

Equipment:

  • PC workstation/Laptop + 2 external monitors
  • OS: Windows or Linux

Benefits:

  • Private medical care (possibility to add family members for free)
  • Multisport card
  • Life insurance
  • Lunch card
  • 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

Location:

  • Office in Warsaw Spire near Metro station
  • Working in a hybrid model: 3 days from the office per week
  • Attractive relocation package

  • Excellent programming skills in Python
  • 5+ years of experience in applying Data Science/Machine Learning on large scale datasets and building or maintaining ML pipelines
  • Solid experience in deploying Python code for ML pipelines in production environment, especially cloud based (AWS preferred)
  • Deep understanding of ML algorithms (both from a theoretical and practical perspective) with expert level knowledge of ML libraries (TensorFlow, PyTorch etc.) or experience in ML pipelines deployment solutions proven by knowledge of related tools: AWS (e.g. Airflow, EMR, Sagemaker), PySpark
  • Working experience in SQL and NoSQL databases (e.g. Snowflake)
  • Good knowledge of CI/CD principles (e.g.: GitHub and GitHub Actions)
  • Master level degree in Machine Learning, Computer Science, Mathematics, Physics or related fields
  • Command of English in speech and writing allowing free communication in cross-team international collaboration

Nice to have

  • PhD in Machine Learning, Computer Science, Mathematics, Physics or related fields
  • Experience in any of the following domains: recommendation systems, ads targeting, user profiling, churn prediction
  • Familiarity with algorithms optimization (memory, processing speed, scalability, GPU)

Samsung R&D Institute Poland jest jednym z największych centrów badawczo-rozwojowych w Polsce. Nasze biura ulokowane są w Warszawie i Krakowie. To w nich powstaje wysokiej jakości oprogramowanie dla produktów Samsung Electronics. Pracujemy w międzynarodowym środowisku. Współpracujemy ze spółkami zależnymi w Europie, USA i w Azji. Praca naszych inżynierów wpływa na przyszłość działania m.in. flagowych modeli smartfonów i telewizorów, sieci mobilnych, multimediów, produktów AGD, robotów czy inteligentnych budynków.

Nasz zespół składa się z ekspertów z wielu specjalistycznych obszarów. Wspólnie tworzymy środowisko, w którym możemy swobodnie dzielić się wiedzą i doświadczeniem. Pozostawiamy też przestrzeń do samodzielności, która sprzyja kreowaniu nowatorskich rozwiązań. Razem szukamy niestandardowych odpowiedzi, które pomagają nam tworzyć prawdziwe innowacje.

Jeśli podzielasz naszą wiarę w siłę technologii, która zmienia rzeczywistość, pracujesz z pasją, masz w sobie ciekawość świata i ciągle chcesz się uczyć – to jest miejsce dla Ciebie, a my wiemy, jakie warunki pracy stworzyć, by sprzyjały Twojemu rozwojowi. Szukamy ludzi, którzy potrafią przekuć śmiałe wizje przyszłości w projekty i produkty, które będą służyć milionom ludzi na całym świecie.