Cisco · 9 hours ago
AI Machine Learning Engineer II (Intern) - United States
San Jose, CA
Internship
Onsite
Intern
$44K/yr - $185K/yrCisco is revolutionizing how data and infrastructure connect and protect organizations in the AI era. The AI Machine Learning Engineer II (Intern) will collaborate with engineering teams to develop and implement generative AI applications, optimize neural networks, and ensure the deployment of high-impact AI solutions.
Communications InfrastructureEnterprise SoftwareHardwareSoftware
Responsibilities
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
Qualification
Required
Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program
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
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
Benefits
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
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
Annual bonuses subject to Cisco’s policies
Company
Cisco
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press.
Founded in 1984
10001+ employees
H1B Sponsorship
Cisco has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1238)
2024 (1231)
2023 (1273)
2022 (2127)
2021 (1991)
2020 (1173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1990-02-13IPO
Leadership Team
Chuck Robbins
Chair and CEO
Carl Solder
Chief Technology Officer - Cisco System Australia/New Zealand
Recent News
2026-01-12
2026-01-11
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