Data & AI Software Engineer Intern

Cisco; San Jose (CA); On-site; USD 34,000 - 48,000; Full time

Job summary

Cisco announces the Product Internship Program, a 12-week summer experience to welcome early-career talent into the mission. Interns will be embedded in high-impact teams and collaborate on products, platforms, and architectures shaping Cisco's future and AI-powered solutions.

You will build data pipelines and ML workflows with Python, train and deploy models using PyTorch or scikit-learn, and scale data solutions using Spark and Kubernetes, gaining exposure to cloud platforms and real-world

Qualifications

• Currently enrolled in an undergraduate degree program (Associate's or Bachelor's).
• Qualifying education should be in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
• Expected to continue enrollment in degree program following completion of the internship.
• Proficient in Python and core data structures, demonstrated through at least one academic, personal, or professional project
• Exposure to at least one ML framework: TensorFlow, PyTorch, or scikit-learn
• Working knowledge of at least one big data/distributed processing tool: Spark, Hadoop (MapReduce), or Flink
• Hands-on experience with at least one deployment/orchestration tool: Docker or Kubernetes

Responsibilities

• Build data pipelines and ML workflows together, using Python to power real-world products.
• Develop, train, and deploy models using frameworks like PyTorch or scikit-learn.
• Orchestrate large-scale data solutions using tools like Spark and Kubernetes.

Skills

Python

ML frameworks

Data structures

Spark

Docker/Kubernetes

Education

Undergraduate student in CS/DS/Statistics/Applied Math

Tools

Docker

Kubernetes

Spark

Hadoop

Job description

Cisco announces the Product Internship Program, a 12-week summer experience to welcome early-career talent into the mission. Interns will be embedded in high-impact teams and collaborate on products, platforms, and architectures shaping Cisco's future and AI-powered solutions.

You will build data pipelines and ML workflows with Python, train and deploy models using PyTorch or scikit-learn, and scale data solutions using Spark and Kubernetes, gaining exposure to cloud platforms and real-world