Machine Learning Engineer II (Intern) - United States

Cisco•San Francisco, CA

3d•Remote

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 perfect operation. 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!

Requirements

Currently enrolled in 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.

Nice To Haves

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.

Responsibilities

Development and implementation of cutting-edge 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, focusing on performance, scalability, and reliability.
Collaborating with engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment.
Experimenting with new technologies and engaging in ongoing learning.
Writing production-ready code, conducting robust testing, and creative problem-solving.

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short and long-term disability coverage
Basic life insurance
Cisco restricted stock units
10 paid holidays per full calendar year
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 for non-exempt employees
Flexible vacation time off program for exempt employees
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 (for non-sales roles)
Performance-based incentive pay (for sales roles)