Generative AI Engineer Intern (ML/LLM)

Cisco; San Jose (CA); On-site; USD 45,000 - 75,000; Full time

Job summary

Cisco is offering a potential internship opportunity within the AI/ML space, focusing on generative AI applications and large language models. The role involves developing, refining, and deploying AI solutions that scale for real-world use.

Ideal candidates are enrolled in CS/EE/Data Science programs with experience in Python/SQL/Go and a drive to work on advanced AI systems, NLP, and security considerations as part of a collaborative Cisco team.

Qualifications

• Pursuing undergrad degree (associate or bachelor’s) with 2 years of work exp; or Master’s with 0 years of work exp.
• Qualifying education and work experience in CS, EE, data science, ML, AI, statistics, mathematics, software engineering, or related field.
• Expected to continue enrollment in degree program after internship.
• Experience with AI/LLM development and programming in Python, SQL, or Go in academic, project, or professional settings.
• Experience training or fine-tuning a neural network model with attention to performance or scalability

Responsibilities

• Develop and implement generative AI applications using large language models like GPT-4, Claude, and Llama.
• Optimize neural networks for NLP and machine perception focusing on performance, scalability, and deployment readiness.
• Train and fine-tune models for deployment to deliver intelligent experiences

Skills

Python

SQL

Go

AI/LLM

Model training

Education

Undergrad degree or masters in CS/EE/data science/ML

Pursuing degree with remaining enrollment

Tools

Docker

Job description

Cisco is offering a potential internship opportunity within the AI/ML space, focusing on generative AI applications and large language models. The role involves developing, refining, and deploying AI solutions that scale for real-world use.

Ideal candidates are enrolled in CS/EE/Data Science programs with experience in Python/SQL/Go and a drive to work on advanced AI systems, NLP, and security considerations as part of a collaborative Cisco team.