Samsung Machine Learning Model Engineer 

United States, California, Mountain View 

238208478

Role and Responsibilities

• Lead a team to deliver production-grade machine learning solutions with notable business impact from end to end
• Design, develop, and deploy scalable low-latency machine learning products
• Communicate with various stakeholders to understand business requirements, manage expectations, and create effective roadmaps
• Closely work with machine learning platform and serving teams to deploy and streamline machine learning pipelines
• Optimize and scale up existing machine learning products
• Closely work with the MLOps team to ensure product health
• Closely work with external partners to introduce new machine learning features and tools
• Research the latest machine learning technologies and keep up-to-date with industry trends and developments
• Create quick prototypes and proof-of-concepts for new features
• Design and implement next-generation machine learning models with advanced technologies

Experience Requirements:

• Master’s or PhD degree in Computer Science or related fields
• 6+ years of industry experience with a Master’s degree or 4+ years of industry experience with a PhD degree
• Solid theoretical background in machine learning and/or data mining
• Rich hands-on experience with production-grade machine learning solutions
• Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
• 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, AAAI, IJCAI, etc.)
• Basic knowledge about Amazon Web Services (AWS)
• Experience with the advertising industry and real-time bidding (RTB) ecosystem