Full-Time

Senior Research Engineer

On-Device Personal Intelligence

Confirmed live in the last 24 hours

Samsung Research America

Samsung Research America

501-1,000 employees

Develops advanced technology in multiple domains

Compensation Overview

$151.2k - $207.8k/yr

+ Bonus

Senior

Mountain View, CA, USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
LLM
Python
Tensorflow
Pytorch
Machine Learning
Natural Language Processing (NLP)
Product Design
Requirements
  • 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
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
Samsung Research America

Samsung Research America

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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.

Company Size

501-1,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Mountain View, California

Founded

1988

Benefits

Onsite Fitness Facility

Subsidized Meals

Coffee Barista Bar

Samsung University

Product Discounts

Dog Friendly Campus

Wellness Programs

Activity Clubs

Growth & Insights

Headcount

6 month growth

25%

1 year growth

3%

2 year growth

25%