Staff AI Research Engineer, Language & Personal Intelligence

Lab Summary: The Language & Personal Intelligence (LPI) Lab at Samsung Research America focuses on advancing next-generation AI systems that understand, reason, remember, and adapt to users over time. Our mission is to build deeply personalized, context-aware, and agentic intelligence that operates efficiently across devices and ecosystems, combining foundational research with real-world impact at global scale.

Position Summary: The Language & Personal Intelligence (LPI) Lab at Samsung Research America focuses on advancing next-generation AI systems that understand, reason, remember, and adapt to users over time. Our mission is to build deeply personalized, context-aware, and agentic intelligence that operates efficiently across devices and ecosystems, combining foundational research with real-world impact at global scale.

• Opportunity to work on next-generation personalized and agentic AI systems with real-world impact
• A collaborative environment that values both research depth and practical engineering excellence

Position Responsibilities:

• Design and implement AI models and systems for language understanding, generation, and personalization
• Develop and prototype memory-augmented and retrieval-based AI systems, including Retrieval-Augmented Generation (RAG)
• Contribute to agentic reasoning and planning systems, including:
  • Reinforcement learning–based decision making
  • Progressive or hierarchical planning
  • Personalized planning and goal-driven behavior
• Research and implement self-evolving and adaptive memory mechanisms that support long-term personalization
• Explore continual and incremental learning approaches that enable models to adapt over time
• Contribute to on-device intelligence research, including:
  • Efficient model architectures
  • Memory- and computation-aware inference
  • Privacy-preserving and edge-friendly learning techniques
• Collaborate with cross-functional research and engineering teams to transition ideas into prototypes and product-ready solutions
• Contribute to internal publications, patents, and external research venues such as NeurIPS, ICML, ICLR, ACL, and EMNLP

Required Skills:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related field, or equivalent industry research experience
• 3+ years of experience in AI research, applied research, or advanced AI engineering
• Strong experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
• Solid understanding of language models, retrieval-based systems, or knowledge-augmented AI
• Experience designing and implementing end-to-end AI systems, from modeling to evaluation
• Strong problem-solving skills and ability to work effectively in research-driven engineering environments