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Engineering Internship, AI/ML

Posted October 07, 2025
Temporary / Intern

Job Overview

About You


You love chess and want to help bring it to players around the world! You’re curious, analytical, and eager to learn from a team exploring how AI and data can enhance the chess experience for millions of users. This internship is an opportunity to develop real-world skills in machine learning, automation, and data-driven problem solving—while collaborating with engineers, analysts, and product thinkers who care deeply about building meaningful technology.

You naturally resonate with a mix of the following qualities and are excited to see how they can shape your career:

  • Multidisciplinary: You’re comfortable moving between data, engineering, and product discussions with ease.
  • Resilient: You stay adaptable and focused when exploring open-ended or experimental ideas.
  • Ability to Simplify: You can take complex data or models and communicate their impact clearly.
  • Agile: You enjoy working iteratively—testing hypotheses, analyzing results, and refining approaches.
  • Holistic: You understand how data, systems, and product goals connect to drive meaningful outcomes.
  • Unorthodox: You like finding creative ways to apply AI to real-world challenges.
  • Logical Intuition: You combine data-driven reasoning with curiosity and intuition.


What You'll Do

  • Automate business and IT operations through data-driven workflows and AI tools
  • Build metrics pipelines, reporting dashboards, and intelligent automation systems
  • Contribute to Chess.com’s internal MarTech and AI platforms
  • Prototype and experiment with internal AI-powered bots and assistants

Preferred Skills

  • Strong foundation in Python and SQL (or similar programming languages)
  • Familiarity with data analysismachine learning, or automation frameworks
  • Interest in AI/ML applications—bonus if you’ve worked on personal or academic AI projects
  • Solid analytical and problem-solving skills
  • Curiosity about applied AI, data pipelines, and model experimentation

About the Opportunity

  • This is a paid internship opportunity
  • We are 100% remote (work from anywhere!)
  • This role is open to candidates who can work in the United States or Canada

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