AI Machine Learning Engineer I – Intern

Cisco

AI Machine Learning Engineer I intern developing innovative generative AI applications. Collaborating with cross-functional teams to optimize neural networks and automate deployment.

Posted 5/1/2026internshipSan Jose • California, North Carolina, Washington • 🇺🇸 United StatesEntry Level💰 $44,000 - $185,000 per yearWebsite

Tech Stack

Tools & technologies

CloudCyber SecurityDockerGoNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Join an innovative engineering team focused on building next-generation AI/ML solutions.
Collaborate with skilled colleagues across platform, security, release engineering, and support teams.
Dive into the development and implementation of innovative generative AI applications.
Optimize neural networks for natural language processing and machine perception.
Work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment.
Engage in experimentation with new technologies and ongoing learning.
Write production-ready code, perform robust testing, and solve creative problems to bring innovative AI solutions to life.

Requirements

What you’ll need

Currently enrolled in an undergraduate degree program in a relevant field, such as Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related discipline.
Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go.
Able to legally live and work in the country for which you’re applying, without visa support or sponsorship.
Experience with cloud-native solutions, Docker container orchestration, or modern rapid deployment platforms (preferred).
Knowledge of data pipeline design, tools, and maintenance (preferred).
Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail).
Familiarity with MCP/Agent workflows or supply chain processes (preferred).
Experience contributing to AI-focused platforms or open tools (e.g., AI Defense Open Tools Portal, AI-SPM), data science toolkits such as Pandas, NumPy, SciPy, or Scikit-learn, and an understanding of Natural Language Processing (NLP) concepts (preferred).

Benefits

Comp & perks

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
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
flexible vacation time off program
sick time off provided on hire date
additional paid time away may be requested for family issues
optional 10 paid days per year to volunteer
annual bonuses for non-sales roles

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLGoAI/ML developmentmodel buildingnatural language processingneural networksdata pipeline designDockerAI validation techniques

Soft Skills

collaborationproblem solvingcreativityexperimentationongoing learning