# Machine Learning Engineer II (Intern) – United States

**Company**: Cisco
**Location**: San Jose, California
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: internship
**Salary**: $44,000.00 - $185,000.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Machine-Learning-Engineer-II--Intern----United-States_2026802?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e97fcc2f-302

## Description

The Cisco Product Internship Program offers a 12-week summer experience designed to welcome early-career talent into this mission. As a Machine Learning Engineer II Intern, 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.

**Minimum Qualifications:**

- Currently enrolled in an undergraduate degree program (Associate's or Bachelor's) with 2 years of work experience; or a Master's degree program with 0 years of work experience.

- Qualifying education and work experience 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.

**Preferred Qualifications:**

- 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.

**Benefits:**

- Medical, dental and vision insurance.

- 401(k) plan with a Cisco matching contribution.

- Paid parental leave.

- Short and long-term disability coverage.

- Basic life insurance.

- Paid time away (10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees).

- Flexible vacation time off program.

- 80 hours of sick time off provided on hire date and each January 1st thereafter.

## Skills

### Required
- Python
- SQL
- Go
- AI/LLM development
- model building
- neural network model training

### Nice to have
- cloud-native solutions
- Docker container orchestration
- data pipeline design
- AI security
- cybersecurity
- AI validation
- Pandas
- NumPy
- SciPy
- Scikit-learn
- NLP

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Machine-Learning-Engineer-II--Intern----United-States_2026802?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)