Position Summary
Role and Responsibilities
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 smartest advertising platform. Being part of an international company such as Samsung and doing business worldwide means that we get to work on big, complex projects with stakeholders and teams around the globe.
We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.
Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we actively explore the latest machine-learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning platform 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 fast-growing team.

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 industry’s 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

• 6+ years of industry experience with a Master’s degree or 3+ years of industry experience with a PhD degree.
• 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.

LI-JT1

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

• Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEAAccommodationsExt@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries

• 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 industry’s 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