Job Description

The Calix platform enables Communication Service Providers (CSPs) of all sizes to transform and future-proof their businesses. Through real-time data, automation, and actionable insights delivered via Calix One — our cloud-first, AI-powered platform — CSPs can simplify operations, collapse cost, and accelerate innovation. Calix One brings together the automation of everything and the experience of one, empowering customers to deliver differentiated subscriber experiences while driving acquisition, loyalty, and revenue growth. This is the Calix mission: to enable CSPs of all sizes to simplify, innovate, and grow, strengthening both their businesses and the communities they serve.

We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.

At Calix, interns are treated as full contributors, working on meaningful, production‑relevant problems with real business impact, supported by strong mentorship and a collaborative engineering culture.

We are looking for a highly motivated AI / Machine Learning Intern to join the Calix AI/ML team. In this role, you will work on real-world AI/ML and Generative AI problems, contributing to models, pipelines, and intelligent systems that power next‑generation Calix products.

This is not a shadowing role—you will design, build, experiment, and ship alongside experienced engineers and data scientists.

Key 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

Required Qualifications:

Currently pursuing or recently completed a Bachelor’s or Master’s degree in:

Computer Science
Artificial Intelligence
Machine Learning
Data Science
Or a related engineering discipline

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
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

Added Advantage (Nice to Have):

Hands‑on project experience in:

Machine Learning / Deep Learning
Generative AI or LLM‑based systems
Agentic AI or multi‑agent frameworks

Exposure to:

NLP, time‑series, recommendation systems, or anomaly detection
Model deployment concepts or MLOps fundamentals

Experience with:

Cloud platforms (AWS, GCP, or Azure)
Data processing frameworks (e.g., Spark)

Strong problem‑solving mindset and curiosity to explore new AI techniques

What You’ll Gain:

Hands‑on experience working on production‑grade AI systems
Exposure to modern AI stacks, including generative AI and agents
Mentorship from senior engineers and AI practitioners
Opportunity to make a measurable impact on Calix products
A strong foundation for a full‑time role in a product‑focused AI/ML team

Who Should Apply:

If you enjoy building things, experimenting with models, and turning ideas into working AI systems—and you want to learn how AI is applied at scale in a real product company—this internship is for you.