Machine Learning Engineer II (Intern) - United States

About this role

The application window is expected to close on: 09/04/2026 T his role may be eligible for remote work in the   United States   depending on business needs and hiring manager approval. 

Meet the Team   

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   TorchServe .   

• 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.   

Why Cisco?  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.  We are Cisco, and our power starts with you. 

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $44,000.00 to $130,000.00 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 salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks.  Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: • 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, and 4 paid days off for personal wellness determined by Cisco

• Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

• Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

• 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one c

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