Full-Time

Senior Staff Research Scientist

On Device/Efficient AI/LLM

Posted on 6/5/2024

Samsung Research America

Samsung Research America

501-1,000 employees

Develops advanced technology in multiple domains

Hardware

Compensation Overview

$188.4k - $282.4kAnnually

+ Annual Bonus

Senior

Mountain View, CA, USA

Required Skills
Data Structures & Algorithms
Requirements
  • Ph.D. in C.S., EE or equivalent combination of education, training, and experience
  • 15+ years of experience with AI related Research
  • Bi-lingual Korean language is highly preferred
  • Expertise in state-of-the-art model architectures like Transformer, Mamba, Liquid neural networks, etc.
  • Experience in efficient model training algorithms and model design like LoRa, DoRA, Flash Attention, FlashAttention-2, etc.
  • Experience in efficient model inference algorithms like speculative decoding, KV caching, etc.
  • Experience in model compression techniques (e.g., pruning, quantization, knowledge distillation, SVD, etc.)
  • Experience in developing and optimizing deep learning models on edge devices like GPU/NPU
  • Proficiency in on-device neural network libraries (e.g., llama.cpp, MLC LLM, etc.)
  • Experience in efficient hardware accelerator design for neural computing on mobile devices
  • Proven track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICLR, ICML, AAAI, IJCAI, CVPR, ACL, etc.)
Responsibilities
  • Design, develop and implement novel efficient model architectures of large foundation models for various applications
  • Develop and implement efficient model training algorithms
  • Develop and implement efficient inference algorithms
  • Deploy and optimize efficient models on edge devices
  • Generate creative solutions (patents) and publish research results in top conferences

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 Stage

N/A

Total Funding

N/A

Headquarters

Mountain View, California

Founded

1988

Growth & Insights
Headcount

6 month growth

12%

1 year growth

16%

2 year growth

39%

Benefits

Onsite Fitness Facility

Subsidized Meals

Coffee Barista Bar

Samsung University

Product Discounts

Dog Friendly Campus

Wellness Programs

Activity Clubs