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FanZ AI Programming & Machine Learning Intern - Remote

Fanz LLC
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FanZ — AI Programming & Machine Learning Intern

Build the Future of Athlete Tech, Creator Tools, and Fan‑Driven Entertainment

At FanZ, we’re redefining how athletes, creators, and fans connect through intelligent technology, interactive media, and next‑generation digital experiences. Our work blends AI, automation, and entertainment‑focused engineering to build tools that empower athletes, creators, and emerging digital communities.

As an AI Programming & Machine Learning Intern, you’ll help develop intelligent systems, automation pipelines, and data‑driven applications that power the FanZ ecosystem. This role is ideal for students who want hands‑on experience building AI models, experimenting with machine learning frameworks, and contributing to real tools used by athletes, creators, and fan communities.

Apply Now

What You’ll Do

AI Development & Machine Learning

  • Design and implement AI models for analytics, prediction, and automation
  • Work with machine learning frameworks such as TensorFlow, PyTorch, and Scikit‑learn
  • Train and fine‑tune models for computer vision, NLP, and real‑time decision‑making
  • Explore how AI can enhance athlete engagement, creator tools, and interactive entertainment

Programming & Engineering

  • Develop and maintain AI‑powered applications using Python, Java, or C++
  • Write efficient algorithms for data processing, pattern recognition, and deep learning
  • Integrate AI models into FanZ platforms, dashboards, and interactive tools
  • Support prototype development that improves accessibility, engagement, and user experience

Data Processing & AI Ethics

  • Assist with data collection, cleaning, and preprocessing
  • Apply ethical considerations around privacy, fairness, and responsible AI use
  • Collaborate on bias detection and model evaluation to ensure equitable outcomes

Automation & Optimization

  • Work on chatbots, recommendation engines, and simulation‑based AI tools
  • Enhance models for real‑time decision‑making and automated workflows
  • Test and optimize applications for speed, accuracy, and user experience

Analytics & Performance Reporting

  • Use AI‑powered analytics tools to measure model performance
  • Generate insights and recommendations based on testing and real‑world feedback
  • Support documentation and reporting for internal teams and stakeholders

Tools & Technologies You’ll Use

(Not inclusive and subject to change)

Interns will gain hands‑on experience with a modern, entertainment‑focused AI tech stack, including:

Machine Learning & Deep Learning

  • TensorFlow
  • PyTorch
  • Scikit‑learn
  • OpenCV
  • Hugging Face Transformers

Programming Languages

  • Python (primary)
  • Java
  • C++
  • R (for statistical modeling)

Data & Analytics

  • Pandas, NumPy, SciPy
  • Jupyter Notebooks
  • Data visualization tools (Matplotlib, Seaborn, Plotly)
  • Model evaluation dashboards

AI for Media & Interaction

  • NLP pipelines for athlete/creator content
  • Computer vision models for media tagging and highlight detection
  • Recommendation systems for fan engagement
  • Chatbot and agent‑based automation tools

Engineering & Deployment

  • Git/GitHub
  • API integration workflows
  • Lightweight cloud‑based testing environments
  • Prototype development tools for interactive media

This section helps students understand exactly what they’ll touch — and it positions FanZ as a hands‑on, tech‑forward environment.

Qualifications

  • Pursuing a degree in AI, Computer Science, Data Science, Machine Learning, or related fields
  • Strong programming skills in Python, Java, C++, or R
  • Familiarity with ML libraries (TensorFlow, PyTorch, OpenCV, Scikit‑learn)
  • Understanding of deep learning, NLP, computer vision, and data processing
  • Strong analytical and problem‑solving skills
  • Curious, adaptable, and excited to learn emerging AI technologies
  • Comfortable working independently and collaboratively

Meeting Schedule

**Must attend at minimum one of the three meetings listed below. 

**SkillBridge Participants are required to attend all four meetings. 

  • Mondays @ 9:00 AM MST
  • Wednesdays @ 10:00 AM MST
  • Fridays @ 8:00 AM MST
  • SkillBridge participants: Thursdays @ 9:00 AM MST

What You’ll Gain

  • Hands‑on experience building AI models and intelligent applications
  • Exposure to real‑world machine learning workflows in entertainment tech
  • Mentorship from AI developers, data scientists, and innovation leaders
  • Opportunities to contribute to mission‑driven tools used by athletes and creators
  • Letters of recommendation based on performance
  • Fully remote internship designed for emerging technologists
  • Duration: 120–365 days

Apply Now

Help build AI that powers the future of athlete engagement, creator tools, and fan‑driven entertainment.