Senior Machine Learning Engineer

Being part of an international company such as Samsung and doing business worldwide means that we get to work on the most challenging projects with stakeholders and teams around the globe. Machine learning lies at the core of the advertising industry. As a machine learning model 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. 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 (preferred) in Computer Science or related fields • 8+ years of industry experience with a Master’s degree or 6+ 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.)