Lab Summary: AI Research Center (AIC) located in Mountain View, California focuses on research and development which directly impacts future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence.

Position Summary: Samsung Research AI center, located in Mountain View, CA, is currently recruiting world-class students who can thrive in a fast-pace, cross team, results-driven environment, with focus on highly visible, challenging, and cross discipline projects. You will be part of an exciting project to build an adaptive, personalized, contextual and secure AI model and system to enable fast, accurate and safe interactions tailored to users’ needs on Samsung devices.

Position 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 Skills: 

• Teamwork and communication skills
• Current Ph.D. student in CS, EE, or related field
• Experience in one or more of the following areas:
  • Strong background in machine learning (supervised learning, transfer learning, one-shot or few shot learning, unsupervised learning, semi-supervised learning, weakly supervised learning, meta-learning, outlier detection, etc.).
  • Expertise in LLM including model architecture, training/finetuning techniques, retrieval augmented generation (RAG), reasoning and action planning, etc.
  • 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 knowledge augmented AI technologies (e.g., language prompt, knowledge graph, neuro-symbolic learning).
  • Experience in agentic AI is a plus.
  • Experience in multimodal AI technologies for various multimodal applications.
  • Experience in on-device AI technologies such as lightweight model architecture design.
  • Proficiency in a neural network library (e.g., PyTorch, TensorFlow).
  • Proven track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ACL, EMNLP, NAACL, TACL, etc.)