Samsung Research AI center is looking 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.
Requirements
- 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
- Proficiency in a neural network library (e.g., PyTorch, TensorFlow)
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)
Other
- Current Ph.D. student in CS, EE, or related field
- Teamwork and communication skills
- Track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ACL, EMNLP, NAACL, TACL, etc.)
- This position will be performed in an office setting.
- The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
