2026 Fall Intern, ML/NLP Research

Summary: Samsung Research America is focused on research and development that impacts future Samsung products. They are seeking a Fall Intern to contribute to developing AI models and systems for natural language processing, engaging in research activities, and generating creative solutions through innovative algorithms. Responsibilities: - Develop and implement novel deep learning/reinforcement learning algorithms for natural language processing (text, speech) in various applications - Contribute to the research activities of our team - Generate creative solutions (patents) and publish in top conferences (papers) Required Qualifications: - Current Ph.D. student in CS, EE, or related field - Experience in one or more of the following areas: - Expertise in LLM including model architecture, training/finetuning techniques, retrieval augmented generation (RAG), reasoning and action planning, etc - Experience in planning, tool use, agent AI, and agent memory to develop autonomous systems for decision-making, problem-solving, and adaptability - Experience in knowledge augmented AI technologies (e.g., language prompt, knowledge graph, neuro-symbolic learning) - Experience in conversational AI technologies: natural language processing (e.g., language models, semantic parsing, natural language generation etc.), dialogue (e.g., state tracking, policy learning), and representation learning (embedding, conceptualization, etc.) - Experience in multimodal AI technologies for various multimodal applications - Experience in on-device AI technologies such as lightweight model architecture design - Teamwork and communication skills - Proficiency in a neural network library (e.g., PyTorch, TensorFlow) - Track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ACL, EMNLP, NAACL, TACL, etc.) Required Skills: Large Language Models (LLM), Model Architecture, Training and Finetuning Techniques, Retrieval Augmented Generation (RAG), Reasoning and Action Planning, Planning and Tool Use for Autonomous Systems, Agent AI, Agent Memory, Knowledge Augmented AI Technologies, Language Prompt, Knowledge Graph, Neuro-symbolic Learning, Conversational AI Technologies, Natural Language Processing, Language Models, Semantic Parsing, Natural Language Generation, Dialogue State Tracking, Policy Learning, Representation Learning, Embedding, Multimodal AI Technologies, On-device AI Technologies, Lightweight Model Architecture Design, Neural Network Libraries, PyTorch, TensorFlow, Machine Learning Research, Artificial Intelligence Research Internship Start Date: Start in 2026 Fall Benefits: Annual bonus eligibility, Generous benefits to help you live life well