Senior AI Research Engineer, On-Device Personal Intelligence

Samsung Electronics America; Mountain View (CA); On-site; USD 151,000 - 208,000; Full time

Job summary

An established industry player is seeking a Research Engineer to innovate and develop state-of-the-art personalization features using Large Language Models. In this pivotal role, you will contribute to groundbreaking AI technologies that enhance user experiences across various smart devices. Your research will focus on creating intelligent systems that adapt to user needs while prioritizing privacy and efficiency. Join a forward-thinking team dedicated to pushing the boundaries of AI and making a significant impact on future products that reach millions of users worldwide. This is an exciting opportunity to be at the forefront of AI innovation.

Qualifications

• Ph.D. in Computer Science or related field required.
• 1+ years of research experience in AI/NLP/ML fields.
• Strong background in NLP, LLMs, and deep learning.

Responsibilities

• Conduct research in personalization and on-device AI solutions using LLMs.
• Develop approaches for personalized recommendations and context-aware features.
• Collaborate with teams to integrate AI models into applications.

Skills

Natural Language Processing (NLP)

Large Language Models (LLMs)

Deep Learning Techniques

Python

TensorFlow

PyTorch

AI Model Optimization

User-Centric Research

Communication Skills

Collaboration Skills

Education

Ph.D. in Computer Science or related field

Tools

GPT

BERT

T5

Vector DB

Job description

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:

• 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.

Compensation: The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education, and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. 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

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce, and providing 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, status as a qualified individual with a disability, or any other characteristic protected by law.