Samsung Research America (SRA) · 21 hours ago
Principal Scientist, Language & Personal Intelligence
Mountain View, CA
Full-time
Onsite
Lead/Staff
$235K/yr - $366K/yr
14+ years expSamsung Research America focuses on advancing next-generation AI systems, and they are seeking a research leader to drive innovation in Language & Personal Intelligence. The role involves leading research efforts in agentic reasoning, adaptive memory, and lifelong learning systems, while collaborating with world-class researchers and transitioning research into scalable systems.
Consumer ElectronicsDigital SignageInformation TechnologyMedical DeviceSoftware
Responsibilities
Define and lead research agendas in agentic language intelligence, adaptive personalization, and long-term user modeling
Research, design and develop self-evolving memory systems enabling persistent, personalized, and contextual AI behavior
Advance Retrieval-Augmented Generation (RAG) and hybrid reasoning systems that combine memory, retrieval, planning, and language understanding
Lead research on agentic reasoning, including:
+ Reinforcement Learning (RL, RLHF, offline/online RL)
+ Progressive and hierarchical planning
+ Personalized planning and decision-making
+ Multi-step reasoning and goal-directed agents
Explore continual and lifelong learning approaches that allow models to adapt
Investigate and prototype learning frameworks and associative memory like architectures for personalized reasoning and recall
Collaborate closely with engineering and product teams to transition research into scalable, production-ready systems
Publish at top conferences (NeurIPS, ICML, ICLR, ACL, EMNLP) and contribute to patents and internal innovation initiatives
Mentor researchers and shape the scientific direction of the Language & Personal Intelligence Lab
Qualification
Required
PhD in AI, Machine Learning, NLP, Cognitive Computing, Knowledge representation and reasoning or related field, or equivalent combination of education, training, and experience
14+ years of research experience in the fields of AI/NLP/ML
Strong publication record in areas such as language models, agentic systems, reinforcement learning, memory or adaptive AI
Deep expertise in modern ML frameworks (PyTorch, TensorFlow, JAX)
Proven experience with LLMs, retrieval-based systems, or knowledge-augmented NLP
Strong understanding of: Agent-based architectures, Multi-step reasoning and planning, Personalization and user modeling
Excellent communication skills and ability to influence both research and product strategy
Additional Required Research Focus: Self-evolving and long-term memory construction, Retrieval-Augmented Generation (RAG) and related AI architectures, Agentic reasoning and planning systems, Reinforcement learning methods for reasoning, adaptation, and personalization
Preferred
Research or hands-on experience in: Continual / lifelong learning, Nested learning and hierarchical learning frameworks, Hopfield networks, energy-based models, or associative memory systems, Progressive planning and hierarchical RL, Personalized agents and user-centric decision-making
Experience bridging theory and applied systems, including deployment-aware research
Contributions to open-source projects or publicly released research artifacts
Benefits
Annual bonus eligibility
Generous benefits to help you live life well
Company
Samsung Research America (SRA)
Founded in October 1988, Samsung Research America (SRA) builds upon Samsung’s 40-year history in the Bay Area.
1001-5000 employees
H1B Sponsorship
Samsung Research America (SRA) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (70)
2024 (56)
2023 (71)
2022 (102)
2021 (69)
2020 (120)
Funding
Current Stage
Late StageLeadership Team
Laszlo Gombos
Senior Director
Richard Hyun
Director, R&D Strategy
Recent News
2025-10-31
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