Lab Summary: 

The Emerging Technologies Group is uniquely positioned to be at the heart of Samsung Research America’s innovation engine aimed towards advancing Samsung’s product offerings across smartphones, wearables, TVs, XR devices, and identifying the next big growth drivers for Samsung across a range of emerging technologies. The group’s mission is to discover and incubate high-potential innovative technologies across the spectrum of fundamental and applied research that lay the foundation for future Samsung products and services. To achieve this mission, the group collaborates closely with both with external entities such as universities, startups, VCs, and government labs, and with several Samsung Product and Advanced Research labs. SRA’s programs enable research breakthroughs on cutting edge technologies and the Emerging Technologies Group is at the core of these programs.

Position Summary:

Samsung Research America is looking for someone who has solid technical skills and project experience in areas of generative AI and Large/Small Language Models, data representation method developments and AI technology stack optimization.

Our ideal candidate is excited about working together with researchers & developers to collect and analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. Samsung’s unique advantage in the consumer electronics market and growing focus on AI will provide you with exciting technical challenges and a rewarding career experience. By leveraging Samsung’s on-device experiences in smartphones, wearables, embedded devices, and the IoT, your work will significantly impact the real-world consumers.

Position Responsibilities:

• Lead projects at the intersection of Cognitive Modeling, Machine Learning, Knowledge Representation and Reasoning
• Lead the team to prepare the proof-of-concept, demo/prototypes, design and execute studies
• Coordinate projects of various time-scales and pioneer partnerships across internal R&D labs, startups and universities
• Lead the development of innovative ideas and generative AI algorithms based on noisy signals from sensors including, but not limited to, light, audio, physiological, and inertial sensor data collected both in lab and field settings
• Generate patents and scientific research papers for top-tier publications

Required Skills:

• PhD. in a technology or engineering or equivalent combination of education, training, and experience
• 7+ years of work experience after PhD., in the artificial intelligence domain discipline
• Knowledge and experience of development of various data representation methods, understanding of statistical and logic/rule based artificial reasoning approaches
• Experience with a variety of ML and multi-modal GenAI techniques (e.g. multivariate/logistic regression models, cluster and time-series analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.), as well as GNN and inference over symbolic systems
• Proficiency in model development and experimentation
• Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation
• Experience with data processing, data embedding using LLMs, Vector databases and prompt engineering
• Experience with LLMs/LLM memory/SLMs/Agents/Knowledge Graphs/VLMs
• Advanced knowledge of relational and non-relational databases (SQL, NoSQL)
• Passion for leading teams and providing both formal and informal mentorship, champion team efforts for bigger impacts by demonstrating curiosity in primary and adjacent areas, thought leadership and viral enthusiasm to motivate colleagues
• Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity
• Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience
• Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
• Sound knowledge of early-stage technology research programs: understanding user needs, gathering requirements, defining project scope and deliverables, building schedules and executing programs from inception to prototyping
• Stay current with AI/ML trends and research; be a thought leader in AI area

Special Attributes:

• Thrive in a fast-paced, dynamic environment
• Contribute in a team-oriented environment, while driving your own agenda
• Prioritize multiple tasks in order to consistently meet deadlines
• Creatively solve problems in an analytical environment
• Resilience to overcome hurdles and address failures with alternative paths
• Adapt quickly to new environments, people, technologies and processes
• High caliber presentation skills with the ability to adapt message to the audience and situation.
• Generate ideas while understanding and incorporating different points of view
• Must be willing to travel domestically and internationally (20%)