AI Machine Learning Engineer I (Intern) - United States
About The Position
Join our innovative engineering team focused on building next-generation AI/ML solutions. You’ll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their flawless operation. 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). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role—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. What an exciting place to grow and make an impact!
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- Development and implementation of innovative generative AI applications using large language models.
- Optimizing neural networks for natural language processing and machine perception.
- Training, fine-tuning, and deploying models for real-world applications.
- Gathering and preparing data.
- Designing custom layers.
- Automating model deployment.
- Experimenting with new technologies.
- Writing production-ready code.
- Conducting robust testing.
- Creative problem-solving.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) plan with a Cisco matching contribution
- Paid parental leave
- Short-term disability coverage
- Long-term disability coverage
- Basic life insurance
- Cisco restricted stock units
- 10 paid holidays
- 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 per full calendar year (non-exempt employees)
- Flexible vacation time off program (exempt employees)
- 80 hours of sick time off
- Optional 10 paid days per full calendar year to volunteer
- Annual bonuses (for non-sales roles)
- Performance-based incentive pay (for sales roles)
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What This Job Offers
Job Type
Full-time
Career Level
Intern
