Senior Staff Research Engineer, On-Device Personal Intelligence

Samsung Electronics GmbH; Mountain View (CA); On-site; USD 188,000 - 283,000; Full time

Job summary

An established industry player is seeking a Research Engineer to innovate personalization features using cutting-edge Large Language Models. This role involves conducting groundbreaking research and developing AI-driven technologies that enhance user experiences across smart devices. You'll work on creating adaptive systems that intelligently cater to user needs while ensuring privacy and efficiency. Join a dynamic team at the forefront of AI research and contribute to impactful projects that reach millions of users worldwide. If you're passionate about AI and eager to make a difference, this opportunity is perfect for you.

Qualifications

• PhD in C.S., EE or related fields or equivalent experience required.
• 10+ years of research experience in AI/NLP/ML is essential.

Responsibilities

• Conduct research in personalization and on-device AI solutions using LLMs.
• Collaborate with teams to integrate AI models into applications.

Skills

Natural Language Processing (NLP)

Large Language Models (LLMs)

Deep Learning Techniques

Python

TensorFlow

PyTorch

Knowledge Graph Construction

User-Centric Research

Communication Skills

Education

PhD in Computer Science or Electrical Engineering

Tools

TensorFlow

PyTorch

Job description

Job Location

Mountain View, CA

Job Category

Job Type

Full-Time

Job #

402597

Job Department

Artificial Intelligence Center

Lab Summary: Samsung AI Research Center (AIC) located in Mountain View, California, is currently recruiting outstanding scientists for the Language 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.

Position 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:

• PhD in C.S., EE or related fields or equivalent combination of education, training, and experience.
• 10+ years of research experience in the fields of AI/NLP/ML.
• Experience conducting research and shipping user-facing products.
• 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: $188,400 — $282,450 USD

Additional Information: Be careful not to disclose information related to the trade secrets of your previous or current employer(s).

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.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email [e-mail].

Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.