2026 Intern, Memory and Personalization (Fall) at Samsung… · Mountain…

Summary: Samsung Research America is focused on creating a world-class voice assistant with deep AI integration across devices. The intern will work on developing long-term memory systems for Bixby, including building retrieval pipelines and designing contextual reasoning mechanisms. Responsibilities: - Design and prototype hybrid memory retrieval systems combining vector search and structured knowledge graphs - Develop long-term memory models from user interaction signals - Build evaluation pipelines for memory relevance, personalization accuracy, and latency - Optimize memory systems for low-latency and on-device deployment - Collaborate with system, platform, and product teams to integrate memory into assistant workflows Required Qualifications: - Currently pursuing a MS/PhD in Computer Science or equivalent field with knowledge around Long-term memory, LLM, ML, AI - 2+ years of ML engineering experience with building end-to-end systems in production - Strong hands-on experience with ML systems through research projects, internships, or production environments - Experience with retrieval systems (vector databases, ranking, search) - Familiarity with graph databases or knowledge graphs - Experience with large language models and embedding-based retrieval - Strong Python skills and familiarity with ML frameworks (PyTorch or TensorFlow) Preferred Qualifications: - Experience with memory systems or knowledge representation - Knowledge of GraphQL and modern API patterns - Experience with recommendation systems or search - Background in information retrieval or ranking systems - Knowledge of model optimization and quantization - Strong knowledge of design patterns and scalable architecture - Experience with CI / CD platforms like Jenkins, Github actions and Circle CI - Hands on experience with Web applications/services development in a professional environment Required Skills: Long-term memory, Large language models, Machine learning, ML engineering, Retrieval systems, Vector databases, Ranking systems, Search systems, Graph databases, Knowledge graphs, Python programming, ML frameworks - PyTorch, ML frameworks - TensorFlow, GraphQL, API design patterns, Recommendation systems, Model optimization, Model quantization, Design patterns, Scalable architecture, CI/CD platforms, Web application development Internship Start Date: Start in 2026 Fall Benefits: Annual bonus eligibility, Generous benefits