Machine Learning Engineer II; Intern

AI/ML Solutions Engineer Intern

This role may be eligible for remote work in the United States depending on business needs and hiring manager approval.

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 perfect operation.

Your Impact

Dive into the development and implementation of cutting-edge 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!

Minimum Qualifications

• Currently enrolled in one of the following: 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 should be in Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program.
• Expected to continue enrollment in degree program following completion of the internship.
• Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample.
• Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation.
• Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation.

Preferred Qualifications

• Experience with inference engines such as vLLM, Triton, or Torch Serve.
• Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models.
• Familiarity with agent frameworks and cloud-native platforms.
• Experience with cybersecurity principles and Python programming, including common AI libraries.
• Exposure to scalable computing environments and best practices for secure, efficient AI deployment.

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions.

Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

The starting salary range posted for this position is $44,000.00 to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full…