Engineering Intern
About The Position
At iSpot.tv, you'll join a fast-moving engineering team building the industry-leading real-time TV advertising measurement platform. This internship is intentionally designed around AI-first software development. You will work alongside senior engineers to use AI code agents to build new systems and migrate existing ones, helping accelerate how we deliver software. You will not just learn engineering. You will help shape how modern engineering gets done. You will contribute to the development and maintenance of scalable systems that process billions of TV ad impressions daily, gaining hands-on experience across backend services, data pipelines, and cloud infrastructure.
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.)
Nice To Haves
- 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
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
Benefits
- Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits.
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What This Job Offers
Career Level
Intern
