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Samsung Research America Logo

Senior Staff Research Engineer, On-Device Language Intelligence

Samsung Research America

$188,400 - $282,450
Sep 15, 2025
Mountain View, CA, US • US
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The business is looking to develop future natural language intelligence with direct impact on Samsung products reaching hundreds of millions of users worldwide.

Requirements

  • Experience conducting research and shipping user facing products
  • Experience in large language model (LLM), including Transformer model architecture, attention mechanisms, decoder only LLMs, SSM architecture
  • Experience in making LLM-based solution deployable on-device with small latency and memory (e.g., knowledge distillation) and on-device acceleration
  • Experience in LLM alignment, instruction tuning, LoRA, Adapter, etc.
  • Experience in Expertise in multi-step reasoning, planning, reinforcement learning (including RLHF), etc.
  • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, and strong hands-on experience with large language models (e.g., GPT, LLaMA, etc.)

Responsibilities

  • Conduct cutting-edge research and development of large foundation models (LLM, VLM, and Reasoning) for future, including model design, efficient model training, instruction tuning, prompt engineering, planning, action and related topics
  • Conduct thorough evaluations and analysis of model performance, identify areas for improvement, and propose innovative solutions to enhance the overall quality and capabilities of large language models
  • Generate creative solutions (patents), publish research results in top conferences (papers)
  • Collaborate with a multidisciplinary team of researchers, engineers, and domain experts to understand requirements, develop prototypes, and deliver robust solutions

Other

  • 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
  • Excellent written and verbal communication skills, with the ability to present complex concepts and research findings in a clear and concise manner
  • Demonstrated ability to work independently as well as collaboratively in a fast-paced research and development environment
  • A strong product/commercialization deliverable experience is required