Staff AI Research Engineer, Language & Personal Intelligence
About The Position
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
Requirements
- 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
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
