Engineering Intern at iSpot.TV
What You'll Be Part Of: 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.
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
Qualifications and Education 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.)
Preferred Skills:
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
What Success Looks Like
You complete one or more meaningful projects end-to-end
Your work meets high quality standards (readable, tested, production-ready)
You demonstrate effective use of AI tools and agents to accelerate development
You help document and share new patterns for AI-assisted engineering
Additional Notes:
This is a hands-on, builder-focused internship, not a shadowing role
You will be expected to take ownership and deliver real outcomes
You will work both independently and collaboratively in a remote environment
This role is ideal for someone excited about the intersection of:
AI
software engineering
Real-world impact at scale
*Target cash compensation range: $35/hr USD *
We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
For more information on total rewards package, go HERE
Hybrid & Flexible Workplace Policy
iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.
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