Senior Machine Learning Engineer for Advanced Advertising Ecosystem

4 dni temu

Warszawa, Polska Samsung R&D Institute Poland Pełny etat

About the Project

Samsung R&D Institute Poland is a cutting-edge research and development center, pushing the boundaries of innovation in the field of artificial intelligence and machine learning. Our team is dedicated to developing advanced advertising solutions that enable brands to connect with Samsung TV audiences on a global scale.

The project we are recruiting for is focused on building the world's smartest advertising platform, leveraging machine learning algorithms to enhance targeting, personalization, and optimization. This means delivering 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. As a Senior Machine Learning Engineer, you will play a vital role in designing, building, and optimizing ML models and platforms that support the end-to-end ML lifecycle, from data ingestion and preparation to model training, deployment, and monitoring.

Key Responsibilities:

  • Develop, test, deploy, and maintain scalable low-latency machine learning products and pipelines supporting ML products, considering factors such as data complexity, problem scope, and available computational resources.
  • Validate model performance on unseen data, ensuring generalizability and avoiding overfitting. Conduct rigorous testing to identify and address potential issues, such as bias or fairness concerns.
  • Design and develop next-generation machine learning platforms to support thousands of concurrent model training pipelines and billions of daily batch predictions.
  • Research and stay up-to-date with the latest machine learning platform technologies, pushing the boundaries of what is currently possible with ML.

Requirements:

  • At least 2 years of proven industry experience in designing and implementing machine learning systems.
  • Familiarity with CI/CD principles, big data tools (e.g., MapReduce, Spark, Flink), and cloud solutions (e.g., AWS, Sagemaker).
  • Programming skills in Python, Go, or other OOP languages.
  • Experience in SQL and databases, including query optimization.
  • Familiarity with unit test frameworks and data structures, algorithms, and software engineering principles.

Benefits:

  • Friendly atmosphere focused on teamwork and collaboration.
  • Opportunity to work in multiple projects and contribute to cutting-edge research and development.
  • Flexible working hours and equipment.
  • Relocation package available for international candidates.
  • Access to unique Samsung proprietary data and opportunities to build real-world impact.

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