AI Research Scientist I (Intern) United States
About The Position
As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks. You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco.
Requirements
- Currently enrolled in an undergraduate degree program. Relevant fields include: Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program.
- Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools.
- Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy).
Nice To Haves
- Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization.
- Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models.
- Familiarity with agentic AI concepts, agent frameworks, and related applications.
- Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow, PyTorch, or Hugging Face Transformers), as evidenced by academic, project, or professional work.
- Understanding of machine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work.
Responsibilities
- Contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning.
- Help build, implement, and evaluate machine learning models and algorithms.
- Participate in data collection, preprocessing, and analysis.
- Assist in developing and fine-tuning AI models for a variety of applications.
- Support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results.
- Share findings with the team, contribute to reports and presentations, and help onboard new team members.
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What This Job Offers
Career Level
Intern
Industry
Professional, Scientific, and Technical Services
Number of Employees
5,001-10,000 employees
