Senior Machine Learning Engineer in Advanced Advertising Ecosystem

2 tygodni temu

Warszawa, Polska Samsung R&D Institute Poland Pełny etat

About Samsung Ads Project

Samsung Ads is an advanced advertising ecosystem spanning hundreds of millions of smart devices across TV, mobile, desktop, and beyond. This project focuses on enabling brands to connect with Samsung TV audiences by 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.

As part of this project, you will understand our products and services to easily identify the ideal customer persona, considering factors such as demographics, psychographics, and purchasing power.

You will get to work on challenging projects with stakeholders and teams located around the globe.

This role involves working with exciting domains like bidding, pacing, and performance-based advertising, as well as recommendations and churn prediction/prevention.

As a senior machine learning engineer, 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 work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies.

Job Responsibilities
  • Develop, test, deploy, and maintain scalable low-latency machine learning products and pipelines supporting ML products.
  • Validate the model's performance on unseen data, ensuring it generalizes well and does not overfit the training data.
  • Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and billions of daily batch predictions.
  • Research the latest machine learning platform technologies and keep up-to-date with industry trends and developments.
  • Experiment with new ML platforms tailored to our environment and create quick prototypes / proof-of-concepts.
  • Streamline model deployment, unit testing, integration testing, and stress testing and ensure engineering quality.
  • Support automation of the ML pipeline using CI/CD principles, promoting consistency, reproducibility, and agility.
  • Work with Data Scientists to introduce new ML platform features, help streamline the model development process, and reduce the lead time for model production.
Technologies in Use
  • Python
  • TensorFlow
  • PyTorch
  • AWS
  • Spark
  • Snowflake
  • Snowpark
  • Github Actions
  • Airflow
  • Grafana
Required Skills and Qualifications
  • Degree in Computer Science or related fields.
  • At least 2 years of proven industry experience.
  • Familiarity with CI/CD (e.g.: Github Actions, Airflow, etc.), ETL or big data tools (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, etc.).
  • Familiarity with mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.) and/or cloud solutions (e.g.: AWS, Sagemaker, etc.).
  • Programming skills in Python, Go or other OOP languages.
  • Experience in SQL and databases including SQL query optimization.
  • Experience with unit test frameworks.

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