AI / Machine Learning Intern

About

This is a full‑time, remote Summer Internship that can be based anywhere in the United States or Canada. Calix is looking for a Summer intern to join our Products organization as an AI / Machine Learning Intern on the Calix AI/ML team. The program lasts 90 days and provides the opportunity to learn new skills through training and on‑the‑job learning. You will design, build, experiment, and ship alongside experienced engineers and data scientists.

Responsibilities

• Design, implement, and experiment with machine learning and deep learning models for product use cases
• Work on end‑to‑end ML workflows, including:
  • Data preprocessing and feature engineering
  • Model training, evaluation, and optimization
  • Experiment tracking and result analysis
• Contribute to Generative AI and agentic systems, including:
  • LLM‑based workflows
  • AI agents, orchestration, and prompt engineering
• Develop prototypes and proof‑of‑concepts that can evolve into production features
• Write clean, maintainable, and well‑documented Python code
• Collaborate with cross‑functional teams (engineering, product, platform)
• Present findings, demos, and outcomes to the broader team

Qualifications

• Currently enrolled in a college degree program in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related engineering discipline (preferably completed Junior year with prior internship or work experience)
• Strong Python programming skills
• Solid understanding of core AI/ML concepts, including Multi‑Agent Systems, MCP server and tool calling, supervised and unsupervised learning, model evaluation and validation, and feature engineering basics
• Familiarity with common AI/ML libraries/frameworks such as LangGraph, CrewAI, Google ADK, Microsoft AutoGen, PyTorch, TensorFlow, or scikit‑learn
• Comfortable working in a Linux/Unix environment
• Experience using Git or other version control systems

Nice to Have

• Hands‑on project experience in Machine Learning / Deep Learning, Generative AI or LLM‑based systems, and Agentic AI or multi‑agent frameworks
• Exposure to NLP, time‑series, recommendation systems, or anomaly detection and model deployment concepts or MLOps fundamentals
• Experience with cloud platforms (AWS, GCP, or Azure) and data processing frameworks (e.g., Spark)
• Strong problem‑solving mindset and curiosity to explore new AI techniques
• Ability to work for the complete summer break (May – August or June – September)

Compensation

• San Francisco Bay Area: $27.60 – $34.50 USD hourly
• All Other US Locations: $24.00 – $30.00 USD hourly

Base pay range varies based on geographic location and other factors; individual pay is determined by residence location, knowledge, skills, and experience.