ML Engineering Intern — Generative AI & NLP

Cisco; San Jose (CA); On-site; USD 30,000 - 55,000; Full time

Benefits offered by this job

12-week internship

Leadership exposure

Networking sessions

Job summary

Cisco's Product Internship Program offers a 12-week summer experience designed to welcome early-career talent into this mission. We embed interns within high-impact teams, where they collaborate directly on the products, platforms, and architectures shaping Cisco's future and powering the AI era.

Throughout the program, interns have the opportunity to participate in targeted learning sessions, multi-functional networking, and direct engagement with leaders across the organization.

Qualifications

• Currently enrolled in an undergraduate degree program (Associate's or Bachelor's).
• Qualifying education should be in CS, EE, Data Science, ML, AI, Statistics, Math, SWE, or related field.
• Expected to continue enrollment after completion of the internship.
• Experience with model building, AI/LLM development, and programming in Python, SQL, or Go, plus AI libraries.
• Experience training or fine-tuning a neural network model with performance considerations.

Responsibilities

• Develop and implement generative AI applications using large language models.
• Optimize neural networks for NLP and machine perception focusing on performance and scalability.
• Train and fine-tune models for deployment to deliver high-impact experiences.
• Collaborate with high-impact teams across Cisco's product org.

Skills

Python

SQL

Go

AI/LLM

NLP concepts

Education

Undergraduate degree

Tools

Docker

Kubernetes

Pandas

NumPy

SciPy

Scikit-learn

Job description

Cisco's Product Internship Program offers a 12-week summer experience designed to welcome early-career talent into this mission. We embed interns within high-impact teams, where they collaborate directly on the products, platforms, and architectures shaping Cisco's future and powering the AI era.

Throughout the program, interns have the opportunity to participate in targeted learning sessions, multi-functional networking, and direct engagement with leaders across the organization.