2026 Intern, Memory and Personalization (Summer)
About The Position
Lab Summary: Advanced Intelligence Lab at Samsung Research America is working towards a vision of a world-class voice assistant that provides a unified AI experience across multiple devices (Galaxy Smartphones, Galaxy Watch & Smart home appliances like TVs, Family Hub, IoT devices etc.) with deep integration and building AI assisted services intelligent solutions. We work on applied research, innovative products, services, and experiences to delight our users by promoting new technologies to make best user experience with Bixby on devices to be intuitive, faster, seamless, more powerful, and multi-dimensional across different product domains/categories. Our goal is to improve user’s lifestyles through technology advancement and experience enrichment. Position Summary: Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text, including but not limited to making phone calls, sending text messages, setting up meetings, opening apps, setting alarms and timers, getting directions, answering general questions, providing information about restaurants and other businesses, etc. Samsu n g Bixby team is seeking talented and self-driven software engineering interns to join our applied research on Long-term memory and personalization solutions. As an intern you will work closely with our team of engineers to develop and maintain software products, learn about the latest technologies and industry trends, and gain valuable experience in a fast-paced and dynamic work environment and build next generation AI services that influence the evolution of smart assistant solutions across our flagship devices. As an intern on the Memory & Personalization team, you will work on next-generation long-term memory systems for Bixby. This includes building and evaluating retrieval pipelines (vector + graph), designing contextual reasoning mechanisms, and developing scalable personalization infrastructure that operates efficiently under device constraints.
Requirements
- 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)
Nice To Haves
- 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
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
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What This Job Offers
Career Level
Intern
