Samsung
Engineer II, Machine Learning Software
Samsung, Mountain View, California, United States, 94043
Engineer II, Machine Learning Software
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 to 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. Work closely with internal ML teams to improve the health of Samsung's 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. Maintain the overall ML platform code base, pipelines, data platform, to ensure the availability and quality for both online and offline production systems. Mentor junior engineers and provide technical guidance. Position Requirements: Master's degree in Computer Science, Computer Engineering, Statistics, Data Science or a related field and three (3) years of experience as an Engineer II, Machine Learning Software or related occupation in software development. The three years of experience must have included: (1) Industry experience with infrastructure such as container services in using Docker containers; (2) Building CI/CD pipelines using Jenkins; (3) Experience with real-time monitoring, alerting frameworks including Prometheus and Grafana; (4) Experience with Cloud environment and online serving system, including AWS Cloud, Google Cloud, Spark, Docker, REST APIs; (5) hands-on experience in real-time caching system in production; (6) Development experiences in objected-oriented programming languages; and (7) Experience with UI/UX. Employer will accept a Ph.D. degree in Computer Science, Computer Engineering, Statistics, Data Science or a related field and one (1) year of experience as an Engineer II, Machine Learning Software or related occupation in software development. One year of experience must have included: (1) Industry experience with infrastructure such as container services in using Docker containers; (2) Building CI/CD pipelines using Jenkins; (3) Experience with real-time monitoring, alerting frameworks including Prometheus and Grafana; (4) Experience with Cloud environment and online serving system, including AWS Cloud, Google Cloud, Spark, Docker, REST APIs; (5) hands-on experience in real-time caching system in production; (6) Development experiences in objected-oriented programming languages; and (7) Experience with UI/UX. Hours: Full Time, 40 hours/week. Salary Range: $199,534/year to $204,000/year Skills and Qualifications:
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 to 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. Work closely with internal ML teams to improve the health of Samsung's 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. Maintain the overall ML platform code base, pipelines, data platform, to ensure the availability and quality for both online and offline production systems. Mentor junior engineers and provide technical guidance. Position Requirements: Master's degree in Computer Science, Computer Engineering, Statistics, Data Science or a related field and three (3) years of experience as an Engineer II, Machine Learning Software or related occupation in software development. The three years of experience must have included: (1) Industry experience with infrastructure such as container services in using Docker containers; (2) Building CI/CD pipelines using Jenkins; (3) Experience with real-time monitoring, alerting frameworks including Prometheus and Grafana; (4) Experience with Cloud environment and online serving system, including AWS Cloud, Google Cloud, Spark, Docker, REST APIs; (5) hands-on experience in real-time caching system in production; (6) Development experiences in objected-oriented programming languages; and (7) Experience with UI/UX. Employer will accept a Ph.D. degree in Computer Science, Computer Engineering, Statistics, Data Science or a related field and one (1) year of experience as an Engineer II, Machine Learning Software or related occupation in software development. One year of experience must have included: (1) Industry experience with infrastructure such as container services in using Docker containers; (2) Building CI/CD pipelines using Jenkins; (3) Experience with real-time monitoring, alerting frameworks including Prometheus and Grafana; (4) Experience with Cloud environment and online serving system, including AWS Cloud, Google Cloud, Spark, Docker, REST APIs; (5) hands-on experience in real-time caching system in production; (6) Development experiences in objected-oriented programming languages; and (7) Experience with UI/UX. Hours: Full Time, 40 hours/week. Salary Range: $199,534/year to $204,000/year Skills and Qualifications: