Position Summary
Samsung Ads is an advanced advertising technology company that is rapidly growing and focuses on enabling advertisers to connect with audiences from Samsung devices as they are exposed to digital media. It uses the industry’s most comprehensive data to build the world’s most brilliant advertising platform. Being part of an international company such as Samsung and doing business worldwide means working on big, complex projects with stakeholders and teams around the globe.Role and Responsibilities
Responsibilities
Design and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions.
Build a world-class ML platform tailored for Samsung’s ML-based advertising business, which can significantly improve the lead time for the model's end-to-end development and deployment process.
Research the latest machine learning platform technologies and create quick prototypes / proof-of-concepts.
We will work closely with internal ML teams (e.g., ML serving and MLOps teams) to improve the health of our codebase product and ensure the highest engineering quality.
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.
Skills and Qualifications
Experience Requirements
7+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree.
Master’s or PhD degree in Computer Science or related fields such as Statistics, Data Science, Technology, Engineering and Mathematics.
Having extensive industry experience with Infrastructure such as Code (Terraform), orchestration tools ( Airflow, AWS Step/Lambda), building CI/CD pipelines using GitHub Actions, and real-time monitoring/alerting frameworks such as Prometheus and Grafana.
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.).
Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store).
Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
Extensive programming experience in Python, Go or other OOP languages, SQL and database, 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.
Preferred Experience Requirements
Extensive experience with Snowflake, Snowpark, and Redis/Aerospike.
Knowledge about Amazon Web Services (AWS).
Experience with the advertising industry and real-time bidding (RTB) ecosystem
The salary range for this role, for candidates based in California, is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
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Yearly based
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