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Samsung Ads · 2 days ago

Machine Learning Engineer, Platform - Samsung Ads

Mountain View, CA

Full-time

Onsite

Senior Level

6+ years exp

Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices. The role involves designing and developing a machine learning platform to support model training and deployment, while collaborating with internal teams and mentoring junior engineers.

Marketing & Advertising

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 model end-to-end development and deployment process

Research the latest machine learning platform technologies in the industry and create quick prototypes / proof-of-concepts

Closely work with different internal ML teams (e.g., ML serving and MLOps teams) to improve our codebase, product health, and ensure the best 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

Qualification

Machine LearningInfrastructure as CodeCI/CD PipelinesProgramming in PythonAWSTensorFlowPyTorchData ScienceAnalytical skillsCommunicationProblem solving

Required

6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree in Computer Science or related fields such as Statistics, Data Science, Technology, Engineering and Mathematics

Extensive industry experience with Infrastructure as Code (Terraform), orchestration tools (Airflow, AWS Step/Lambda), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting framework 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