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Samsung Research America Logo

Engineer, AI/ML

Samsung Research America

Salary not specified
Sep 11, 2025
Mountain View, CA, US
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Samsung Knox is seeking to develop on-device enterprise AI agents and frameworks to protect businesses and consumers using Samsung devices, and to define the future role of smartphones in business

Requirements

  • Hands-on experience with LLMs and NLP applications, especially in enterprise or security contexts
  • Strong knowledge of AI agent architectures, multi-agent coordination, and decision-making frameworks
  • Experience building or optimizing retrieval systems (knowledge graphs, vector search, hybrid search)
  • Familiarity with RAG pipelines and their integration with LLMs for enterprise applications
  • Proficiency in post-training techniques (alignment, safety tuning, RLHF, evaluation)
  • Experience with model optimization (quantization, pruning, distillation) for on-device/edge systems
  • Strong coding skills in Python with frameworks such as PyTorch or TensorFlow

Responsibilities

  • Explore and design novel agent architectures for enterprise-grade AI agents that combine automation, context-awareness, and secure decision-making
  • Research and develop on-device RAG pipelines, integrating knowledge graphs, vector search, and hybrid keyword search to enable secure and contextual enterprise AI
  • Optimize retrieval and reasoning workflows for agents, ensuring efficient integration of enterprise knowledge into LLM-based decision-making
  • Conduct post-training optimization (safety tuning, alignment, and evaluation) for robust and trustworthy deployment of enterprise AI agents
  • Apply model optimization techniques (quantization, distillation, pruning) for efficient deployment on mobile and IoT devices
  • Build frameworks leveraging LiteRT LM, Mediapipe LLM, llama.cpp, MLC LLM, and similar runtimes for on-device agent deployment
  • Rapidly prototype and develop proof-of-concept applications to explore new features and validate technical feasibility

Other

  • Master's or Ph.D. in Computer Science, AI/ML or a related field, or equivalent combination of education, training, and experience
  • 1+ years of experience
  • Strong communication and teamwork skills, with a results-oriented approach
  • Must not disclose any trade secrets of a current or previous employer
  • Ability to work in an office setting and operate standard office equipment