Machine Learning Engineer I (Intern) – United States

Cisco•San Jose, CA

2d•Remote

About The Position

This posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications accepted until further notice. The Cisco 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. By immersing interns in real-world challenges, we help them build the technical skills, confidence, and collaborative approach needed to envision a long-term, impactful career at Cisco. You’ll dive into the development and implementation of cutting-edge generative AI applications using large language models like GPT-4, Claude, and Llama. You’ll optimize neural networks for natural language processing and machine perception, focusing on performance, scalability, and reliability as you train and fine-tune models for deployment. By building and fine-tuning cutting-edge generative AI and transformer-based models to deliver high-impact, intelligent experiences, you keep Cisco at the forefront of AI innovation and help us shape the future of intelligent products.

Requirements

Currently enrolled in an undergraduate degree program (Associate's or Bachelor's)
Qualifying education should be in Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related field.
Expected to continue enrollment in degree program following completion of the internship.
Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go, including the use of common AI libraries, in an academic, project, or professional capacity.
Experience training or fine-tuning a neural network model, including attention to performance or scalability considerations.

Nice To Haves

Experience with cloud-native solutions, Docker container orchestration, or modern rapid deployment platforms
Knowledge of data pipeline design, tools, and maintenance
Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail)
Experience with data science toolkits such as Pandas, NumPy, SciPy, or Scikit-learn
Understanding of Natural Language Processing (NLP) concepts

Responsibilities

Dive into the development and implementation of cutting-edge generative AI applications using large language models like GPT-4, Claude, and Llama.
Optimize neural networks for natural language processing and machine perception, focusing on performance, scalability, and reliability as you train and fine-tune models for deployment.
Build and fine-tune cutting-edge generative AI and transformer-based models to deliver high-impact, intelligent experiences.

Benefits

medical, dental and vision insurance
a 401(k) plan with a Cisco matching contribution
paid parental leave
short and long-term disability coverage
basic life insurance
grants of Cisco restricted stock units
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation time per full calendar year (for non-exempt employees)
flexible vacation time off program (for exempt employees)
80 hours of sick time off provided on hire date and each January 1st thereafter
up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
annual bonuses (for non-sales roles)
performance-based incentive pay (for sales roles)