AI Machine Learning Engineer I (Intern) - United States

Cisco is revolutionizing how data and infrastructure connect and protect organizations in the AI era. The role involves collaborating with an engineering team to develop and implement innovative AI applications, focusing on optimizing neural networks and ensuring high-impact products are delivered effectively.

Responsibilities

• Dive into the development and implementation of innovative generative AI applications using the latest large language models—think GPT-4, Claude, Llama, and beyond!
• Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs)
• Work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment
• Experimentation with new technologies and ongoing learning are always encouraged
• Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life

Skills

• 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, including the use of common AI libraries, in an academic, project, or professional capacity
• 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
• Knowledge of data pipeline design, tools, and maintenance
• Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail)
• Familiarity with MCP/Agent workflows or supply chain processes
• 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

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
• 10 paid holidays per full calendar year, plus 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 determined by Cisco
• 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
• Flexible vacation time off program
• 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
• Employees are also eligible to earn annual bonuses subject to Cisco’s policies

Company Overview