Research Engineer, LLM Knox Advanced R&D

7 days ago


Mountain View, California, United States Samsung Research America Full time
Job Summary

Samsung Research America is seeking a highly skilled Research Engineer to join our team in the development of cutting-edge technologies for Samsung devices and services. As a Research Engineer, you will be responsible for researching and developing novel product concepts and prototypes, and solving challenging problems in artificial intelligence, machine learning, and security and privacy.

Key Responsibilities
  • Work with product teams to propose new products and services for Samsung's ecosystem
  • Define relevant technical problems to improve existing products and services
  • Develop proof-of-concept technology demonstrations and conduct experiments to evaluate performance and robustness
  • Collaborate with other teams to implement and deploy products and services
  • Research new technologies that could potentially lead to research publications and/or patents
Requirements
  • Bachelor's degree or equivalent combination of education, training, and experience
  • 3+ years of academic or industrial experience in NLP-related domains
  • Solid research background in one or more fields of machine learning and/or deep learning, natural language processing, large language models, security, and privacy
  • Hands-on experience in building practical applications/solutions using techniques in the above-mentioned fields
  • Highly self-motivated, able to work independently and collaboratively
  • Strong passion for exploring new technologies and being always ready to accept new challenges
Preferred Qualifications
  • PhD or equivalent combination of education, training, and experience in artificial intelligence, machine learning, NLP, or related fields
  • Prior research or development experience on LLMs
  • Expertise in building LLM-driven applications leveraging existing or creating data pipelines and/or frameworks
  • Expertise in optimized processing of deep neural networks for resource-constrained devices
  • Expertise in various topics in AI, such as reinforcement learning, transfer learning, continual learning, and adversarial machine learning
  • Publication record in top venues in related fields


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