Graduate Trainee - Python

Role Overview: 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. As a highly motivated AI / Machine Learning Intern, you will join the Calix AI/ML team and 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 roleyou 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 Qualification Required: - Currently pursuing or recently completed a Bachelors or Masters 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 Additional Company Details: Calix is at the forefront of a once-in-a-generational change in the broadband industry. They are dedicated to innovating, helping customers reach their potential, and connecting underserved communities with unrivaled digital experiences. Interns at Calix are valued members of the team, working on impactful projects and gaining valuable experience in a collaborative environment. Role Overview: 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. As a highly motivated AI / Machine Learning Intern, you will join the Calix AI/ML team and 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 roleyou 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 Qualification Required: - Currently pursuing or recently completed a Bachelors or Masters 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 Additional Company Details: Calix is at the forefront of a once-in-a-generational change in the broadband industry. They are dedicated to innovating, helping customers reach their potential, and connecting underserved communities with unrivaled digital experiences. Interns at Calix are valued members of the team, working on impactful projects and gaining valuable experience in a collaborative environment.