AI/ML Modeling Engineer II (intern) - United States

AI/ML Modeling Engineer Intern

Join a dynamic team of engineers and data scientists focused on building the next generation of intelligent systems. We work at the intersection of software engineering and machine learning, developing scalable pipelines and models that power Cisco's vast ecosystem. Our team thrives on collaboration, innovation, and the drive to turn complex data into seamless user experiences.

As an AI/ML Modeling Engineer Intern, you will apply your foundational knowledge of computer science and mathematics to solve real-world challenges. You will work closely with senior engineers to support the machine learning lifecycle, from data acquisition and cleaning to model testing and deployment. This role offers the opportunity to gain hands-on experience with production-grade AI tools while contributing to projects that impact millions of users worldwide.

Support Model Development: Assist in the design, implementation, and testing of machine learning models to solve specific business or technical problems.

Data Pipeline Engineering: Help build and maintain data preprocessing pipelines to ensure high-quality input for training and evaluation.

Performance Evaluation: Conduct experiments to measure model accuracy and efficiency, using standard metrics to document and report findings.

Collaborative Engineering: Work within an agile environment, participating in code reviews and contributing to the team's shared codebase and technical documentation.

Minimum Qualifications

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, Data Science, Statistics, Electrical Engineering, or a related technical field.

Strong foundational knowledge of programming languages such as Python, Java, or C++.

Basic understanding of core machine learning concepts, including supervised and unsupervised learning, regression, and classification.

Solid mathematical background in linear algebra, calculus, and probability/statistics.

Experience using standard data analysis libraries such as NumPy, pandas, or Matplotlib through coursework or personal projects.

Preferred Qualifications

Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.

Familiarity with version control systems like Git and collaborative development environments.

Basic knowledge of SQL and experience working with relational databases or structured data.

Previous experience with Jupyter Notebooks for data exploration and visualization.

Strong problem-solving skills and a passion for staying current with emerging AI and software engineering trends.

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.