Machine Learning Engineer I – Intern

Cisco

. Develop and implement generative AI applications using large language models such as GPT-4, Claude, and Llama .

Posted 9/24/2026internshipUnited StatesEntry Level💰 $44,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing generative AI applications using large language models, with a strong focus on model training, optimization, and performance. Proficient in Python and familiar with AI libraries and cloud-native solutions to deliver impactful intelligent experiences.

Highest-signal resume keywords

Generative AI Application DevelopmentModel Training and Fine-TuningPython ProgrammingNatural Language Processing (NLP)Cloud-Native Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model BuildingAI/LLM DevelopmentNeural Network OptimizationPerformance ScalabilityData Pipeline DesignAI Security TechniquesDocker Container OrchestrationPandasNumPySciPy

Soft Skills

CollaborationAttention to Detail

Tools & Technologies

AI LibrariesSQLGoScikit-learn

Industry Keywords

Artificial IntelligenceMachine LearningData ScienceComputer ScienceElectrical EngineeringStatisticsMathematicsCybersecurityAI Validation TechniquesTransformer-Based Models

Tech Stack

Tools & technologies

CloudCyber SecurityDockerNumpyPandasPythonScikit-LearnSQLGo

About the role

Key responsibilities & impact

Develop and implement generative AI applications using large language models such as GPT-4, Claude, and Llama
Optimize neural networks for natural language processing and machine perception
Train and fine-tune models for performance, scalability, and reliability
Build and fine-tune generative AI and transformer-based models
Deliver high-impact intelligent experiences and help shape Cisco’s intelligent products
Collaborate with high-impact Cisco teams during a 12-week summer internship
Participate in targeted learning sessions, multifunctional networking, and direct engagement with organizational leaders

Requirements

What you’ll need

Currently enrolled in an undergraduate degree program (Associate's or Bachelor's)
Qualifying education in Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related field
Expected to continue enrollment in the degree program after completing the internship
Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go through academic, project, or professional work
Experience using common AI libraries
Experience training or fine-tuning a neural network model
Attention to model performance or scalability considerations
Preferred: 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 such as Guardrail
Preferred: experience with Pandas, NumPy, SciPy, or Scikit-learn
Preferred: understanding of Natural Language Processing (NLP) concepts

Benefits

Comp & perks

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
Cisco restricted stock unit grants may be available, subject to eligibility and continued employment
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
Paid birthday day off
Paid year-end holiday shutdown
4 paid personal wellness days
16 days of paid vacation per full calendar year for non-exempt employees
Flexible vacation time off program with no defined limit for eligible exempt employees
80 hours of sick time off provided on hire and annually, with up to 80 unused hours carried forward
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses may be available for non-sales roles
12-week summer internship experience
Targeted learning sessions, multifunctional networking, and engagement with organizational leaders