Samsung AI Research Center is looking to enhance user experiences through personalization features and on-device solutions using Large Language Models.
Requirements
Strong background in NLP, LLMs, and deep learning techniques
Hands-on experience with LLMs such as GPT, BERT, T5, or similar, and knowledge of their application in real-world environments
Experience in knowledge graph construction, indexing (e.g., vector DB) and Retrieval Sugmented Generation (RAG) models
Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other ML frameworks
Experience designing and deploying AI models on mobile, embedded, or resource-constrained devices
Strong understanding of AI model optimization techniques, including model compression, quantization, and efficient computation for on-device use
Responsibilities
Conduct groundbreaking research in personalization and on-device AI solutions using LLMs
Develop new approaches for incorporating LLMs into personalized recommendations, Q&A, context-aware features, and proactive assistance
Design, prototype, and implement LLM-based models to deliver a personalized, adaptive experience across a variety of user interactions
Collaborate with cross-functional teams to integrate AI models into end-user applications and optimize performance for real-time, on-device use cases
Focus on improving device efficiency, privacy, and security while utilizing state-of-the-art AI techniques
Stay up-to-date with the latest AI and LLM research trends, leveraging these insights to continuously improve and innovate the product experience
Other
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field or equivalent combination of education, training, and experience
1+ years of research experience in the fields of AI/NLP/ML
Strong communication and collaboration skills, with the ability to present complex technical concepts to a broad audience
