Software Engineer Data & AI I (Intern) – United States
About The Position
The Cisco Product Internship Program offers a 12-week summer experience designed to welcome early-career talent into this mission. We embed interns within high-impact teams, where they collaborate directly on the products, platforms, and architectures shaping Cisco's future and powering the AI era. Throughout the program, interns have the opportunity to participate in targeted learning sessions, multi-functional networking, and direct engagement with leaders across the organization. By immersing interns in real-world challenges, we help them build the technical skills, confidence, and collaborative approach needed to envision a long-term, impactful career at Cisco. You’ll build data pipelines and machine learning workflows together, using Python to power real-world products. You’ll develop, train, and deploy models using frameworks like PyTorch or scikit-learn, and orchestrate large-scale data solutions using tools like Spark and Kubernetes. By building and scaling the intelligent data pipelines and distributed systems that power our models, you ensure our platforms remain performant and reliable as we process data at scale to drive the insights that fuel our AI-driven products.
Requirements
- 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.
Nice To Haves
- Experience deploying or productionizing a trained ML model, beyond coursework-level training and evaluation.
- Exposure to at least one cloud platform: AWS, Azure, or Google Cloud.
- Understanding of at least two of: scalability, reliability, fault tolerance, or data consistency.
- Working knowledge of at least two of: load balancing, consensus algorithms, or inter-service communication.
Responsibilities
- Build data pipelines and machine learning workflows using Python.
- Develop, train, and deploy models using frameworks like PyTorch or scikit-learn.
- Orchestrate large-scale data solutions using tools like Spark and Kubernetes.
- Build and scale intelligent data pipelines and distributed systems that power models.
- Ensure platforms remain performant and reliable while processing data at scale.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) plan with a Cisco matching contribution
- Paid parental leave
- Short-term disability coverage
- Long-term disability coverage
- Basic life insurance
- 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 (non-exempt employees)
- Flexible vacation time off program (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
- Optional 10 paid days per full calendar year to volunteer
- Annual bonuses (for non-sales roles)
- Performance-based incentive pay (for sales roles)
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Associate degree
