Machine Learning Engineer II

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 foundation in machine learning and natural language processing. Proficient in model training, fine-tuning, and optimization for performance and scalability.

Highest-signal resume keywords

Generative AI Application DevelopmentNeural Network Training and Fine-TuningPython ProgrammingCloud-Native SolutionsNatural Language Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large Language ModelsMachine LearningArtificial IntelligenceModel BuildingPerformance OptimizationScalability ConsiderationsData ScienceStatisticsSoftware EngineeringAI Libraries

Tools & Technologies

DockerPandasNumPySciPyScikit-learn

Industry Keywords

AI SecurityCybersecurityAI Validation TechniquesData Pipeline Design

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 in deployment
Build and fine-tune generative AI and transformer-based models
Deliver high-impact intelligent experiences and contribute to Cisco’s AI innovation

Requirements

What you’ll need

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 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, including common AI libraries
Experience may be academic, project-based, or professional
Experience training or fine-tuning a neural network model, including 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 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
Potential Cisco restricted stock unit grants, vesting following 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 days off for personal wellness
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 each January 1st thereafter
Up to 80 hours of unused sick time carried forward
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles, subject to Cisco’s policies
12-week summer internship experience
Targeted learning sessions, multifunctional networking, and engagement with leaders