Inactive
H

HRL Laboratories

Cognitive systems R&D for human-machine collaboration

Natural Language Processing Intern

AI & Machine LearningPosted on Aug 3, 2023
Internship · Summer 2023Calabasas, CA, USANo salary listed

About the Job

Requirements

  • Strong understanding of NLP concepts, algorithms, and techniques
  • Proficient in at least one major coding language (e.g., Python, Java, C++) and machine learning framework (e.g., PyTorch, TensorFlow)
  • Familiarity with NLP libraries and frameworks such as NLTK, spaCy, HuggingFace
  • Solid understanding of traditional NLP techniques, such as semantic parsing, named entity recognition, part-of-speech tagging, syntactic parsing, and information extraction
  • Knowledge of the latest developments in Large Language Models (LLMs) like GPT-3, GPT-4, or similar models
  • Strong communication and teamwork abilities
  • Understanding of common challenges and limitations of existing NLP techniques and the ability to propose innovative solutions
  • Ability to optimize and develop lightweight LLMs for deployment in resource-constrained environments
  • Publications in top-tier research conferences and journals

About the Company

HRL Laboratories

Cognitive systems R&D for human-machine collaboration

HRL Laboratories conducts research and development in cognitive systems and human–machine collaboration for defense and high-tech clients. It creates AI/ML-powered cognitive architectures and interfaces that help machines understand sensemaking and assist human memory, enabling more autonomous and scalable decision-making systems. Its solutions are built through project-based work for government agencies, defense contractors, and private sector partners, often involving patented technologies and collaborations with academia. The company differentiates itself with a focus on integrated cognitive architectures, memory enhancement techniques, and neurosynchrony, applying these to real-world applications in government and industry. Its goal is to improve how humans and machines interact to enhance cognitive performance and decision quality across complex, high-stakes environments.

Company size
501-1,000
Company stage
Grant
Total funding
$2M
Headquarters
Malibu, CA
Founded
1997

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