Inactive
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iSpot.tv

TV ad attribution with real-time analytics

Engineering Intern

Backend EngineeringPosted on Apr 8
Internship · Summer 2026Bellevue, WA, USA

About the Job

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
  • Completion of at least two years of undergraduate coursework preferred
  • Strong foundation in data structures, algorithms, and software design principles
  • Experience with at least one programming language (Python, Java, Go, or similar)
  • Hands-on experience using AI coding tools (Kiro, Copilot, Codex, Claude, Cursor, etc.)

Responsibilities

  • Use AI-ML code agents (for example, Kiro, Copilot, Claude, Cursor, or similar) to design, build, and migrate software systems
  • Take ownership of clearly scoped projects, delivering working, high-quality solutions
  • Partner with senior engineers to rethink how systems are built using AI-assisted workflows
  • Contribute to migrating or modernizing existing services, pipelines, or tools using AI-driven approaches
  • Write, test, and iterate on code with a strong emphasis on quality, maintainability, and performance
  • Participate in code reviews and incorporate feedback to improve both code and approach
  • Document your work, including: What you built How AI was used What worked and what did not
  • Share learnings with the team to help improve overall engineering productivity and practices

Desired Qualifications

  • Python or Java (through coursework or personal projects)
  • Basic familiarity with SQL
  • Exposure to Git and version control concepts
  • Experience with Linux/command line basics
  • Familiarity with any web framework or scripting is a plus
  • Strong curiosity, willingness to learn, and ability to work through ambiguous problems

About the Company

iSpot.tv

TV ad attribution with real-time analytics

iSpot.tv measures TV advertising effectiveness by linking ads to real-world actions like online activity, store visits, and sales. It collects a catalog of TV ads, airings data, and data from 12 million opt-in Smart TVs to deliver real-time impression and attention metrics through a subscription platform that integrates with a client’s marketing tools. This differs from competitors by providing real-time, outcome-based analytics that connect TV exposure to actual business results, not just impressions, with seamless integrations for planning and optimization. The goal is to help disruptive brands maximize TV ad ROI by tracking outcomes, optimizing campaigns, and aligning TV plans with business objectives.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$382.8M
Headquarters
Bellevue, WA
Founded
2012

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