Senior Staff Research Engineer, On-Device Personal Intelligence at Samsung Research America

Mountain View, California, United States

Samsung Research America Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Technology, Consumer ElectronicsIndustries

Requirements

Candidates must possess a PhD in Computer Science, Electrical Engineering, or a related field, or an equivalent combination of education, training, and experience, along with 10+ years of research experience in AI/NLP/ML, and experience conducting research and shipping user-facing products. Strong backgrounds in NLP, LLMs, and deep learning techniques are required, as well as hands-on experience with LLMs such as GPT, BERT, T5, and knowledge of their application in real-world environments, including experience with knowledge graph construction, indexing, and Retrieval Augmented Generation (RAG) models.

Responsibilities

As a Senior Staff Research Engineer, you will conduct groundbreaking research in personalization and on-device AI solutions using LLMs, specifically for mobile and embedded devices, and develop new approaches for incorporating LLMs into personalized recommendations, Q&A, context-aware features, and proactive assistance. You will design, prototype, and implement LLM-based models to deliver a personalized, adaptive experience, collaborate with cross-functional teams to integrate AI models into end-user applications, and focus on improving device efficiency, privacy, and security while utilizing state-of-the-art AI techniques. Furthermore, you will stay up-to-date with the latest AI and LLM research trends, contribute to the publication of research findings, and present insights to internal teams and stakeholders.

Skills

LLMs
Large Language Models
Personalization
On-Device AI
Natural Language Processing
Mobile Devices
Embedded Systems
Context-Aware AI
Personalized Recommendations
Q&A Systems
AI Optimization
Privacy
Security
Machine Learning
Research

Samsung Research America

Develops advanced technology in multiple domains

About Samsung Research America

Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.

665 Clyde Ave, Mountain View, CA 94043, USAHeadquarters
1988Year Founded
VENTURE_UNKNOWNCompany Stage
HardwareIndustries
501-1,000Employees

Benefits

Onsite Fitness Facility
Subsidized Meals
Coffee Barista Bar
Samsung University
Product Discounts
Dog Friendly Campus
Wellness Programs
Activity Clubs

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