AI Research Scientist II (Intern) United States

Cisco • San Jose, CA

463d

About The Position

The AI Research Scientist II (Intern) position at Cisco involves working with large datasets to analyze customer usage patterns and derive actionable insights. The role focuses on conducting advanced research in areas such as large language models (LLMs), natural language processing (NLP), and multimodal deep learning (DL) models. Interns will collaborate with senior researchers, contribute to the development of AI models, and stay updated with the latest advancements in the field.

Requirements

• Currently enrolled in a graduate program (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong understanding of machine learning, deep learning, and natural language processing concepts.
• Experience with programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of Large Language Models (e.g., GPT-3, BERT) and their applications.
• Familiarity with multimodal deep learning techniques and models.

Nice To Haves

• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
• Previous research experience in AI, NLP, or DL, with publications in relevant conferences or journals.
• Familiarity with data visualization tools and techniques.

Responsibilities

• Assist in conducting advanced research in LLMs, NLP, and Multimodal DL models.
• Collaborate with senior researchers to design, implement, and evaluate machine learning models and algorithms.
• Participate in data collection, preprocessing, and analysis to support research projects.
• Contribute to the development and fine-tuning of AI models for various applications.
• Stay current with the latest research and advancements in AI, NLP, and DL.
• Document research findings and assist in preparing reports, presentations, and publications.
• Attend team meetings and contribute to brainstorming sessions and project planning.

Benefits

• Inclusive work culture that embraces diversity and individuality.
• Opportunities for professional growth and development.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree