Samsung Machine Learning Model Engineer 

United States, California, Mountain View 

312796798

Responsibilities

• Lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.
• Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.
• Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.
• Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.
• Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.
• 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.

Experience Requirements:

• Master’s or PhD degree in Computer Science or related fields.
• 4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.
• Solid theoretical background in machine learning and/or data mining.
• Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).
• Hands-on experience with production-grade machine learning solutions.
• Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).
• Extensive programming experience in Python, Go or other OOP languages.
• Familiarity with data structures, algorithms and software engineering principles.
• Proficiency in SQL and databases.
• Strong communication and interpersonal skills to drive cross-functional partnerships.

Preferred Experience Requirements:

• Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).
• Basic knowledge about Amazon Web Services (AWS).
• Experience with the advertising industry and real-time bidding (RTB) ecosystem.