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Samsung Research America

Senior AI Research Engineer, On-Device Personal Intelligence

Samsung Research America, Mountain View, California, us, 94039

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Summary:

Samsung AI Research Center (AIC) located in Mountain View, California, is currently recruiting outstanding scientists for the Language and Personal Intelligence lab. Our goal is to perform research and development with direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence.

Position Summary:

As a Research Engineer, you will be at the forefront of creating state-of-the-art personalization features and on-device solutions using Large Language Models (LLMs). You will contribute to the development of novel AI-driven technologies that enhance user experiences, focusing on improving device personalization in areas such as smartphones, wearables, and other smart devices. Your work will help build systems that adapt intelligently to users’ needs while maintaining privacy, efficiency, and usability.

Responsibilities

Conduct groundbreaking research in personalization and on-device AI solutions using LLMs, specifically for mobile and embedded devices

Develop new approaches for incorporating LLMs into personalized recommendations, Q&A, context-aware features, and proactive assistance, ensuring they respond contextually to users' behaviors, preferences, and habits

Design, prototype, and implement LLM-based models to deliver a personalized, adaptive experience across a variety of user interactions

Collaborate with cross-functional teams to integrate AI models into end-user applications and optimize performance for real-time, on-device use cases

Focus on improving device efficiency, privacy, and security while utilizing state-of-the-art AI techniques, ensuring a seamless user experience

Stay up-to-date with the latest AI and LLM research trends, leveraging these insights to continuously improve and innovate the product experience

Contribute to the publication of research findings in top conferences and journals, as well as present insights to internal teams and stakeholders

Required Skills

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field or equivalent combination of education, training, and experience

1+ years of research experience in the fields of AI/NLP/ML

Strong background in NLP, LLMs, and deep learning techniques

Hands-on experience with LLMs such as GPT, BERT, T5, or similar, and knowledge of their application in real-world environments

Experience in knowledge graph construction, indexing (e.g., vector DB) and Retrieval Augmented Generation (RAG) models

Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other ML frameworks

Experience designing and deploying AI models on mobile, embedded, or resource-constrained devices

Strong understanding of AI model optimization techniques, including model compression, quantization, and efficient computation for on-device use

Experience in user-centric research and product design, with a focus on improving personalization and user experience

Strong communication and collaboration skills, with the ability to present complex technical concepts to a broad audience

Base Pay Range $151,200 - $207,750 USD

Additional Information Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions

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.

Equal Employment Opportunity

Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, or any other characteristic protected by law.

Pay Transparency

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to Samsung’s Pay Transparency policy.

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