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Job Description
Software Engineer Intern | The Trade Desk
The Tone:
This is an internship at The Trade Desk, requiring a 3-day in-person presence in an unspecified North American location. The Trade Desk operates as a global technology company committed to building a better, more open internet through intelligent and principled advertising. Their platform handles over a trillion queries daily, demonstrating operations at an unprecedented scale. This Software Engineer Intern role is an opportunity to join an award-winning culture built on trust, ownership, empathy, and collaboration, where you can make a meaningful difference by solving hard problems and contributing to a better media ecosystem.
The TL;DR
• Role: Internship
• Type: Temporary
• Location: In-person, North America (specific location not named)
• Pay: $46—$62 USD
• Team: Reports to an experienced software engineer for one-on-one mentorship, collaborating within a globally connected team.
• Mission: Own and ship a meaningful project end-to-end that makes a positive impact for the team.
• Tech Stack: Distributed systems, petabyte-scale data processing, machine learning/AI, UI/UX
What You’ll Actually Do
• Project Ownership: Own and ship a meaningful project from conception to completion, ensuring it makes a positive impact for the team.
• Mentorship: Receive individualized guidance and support through one-on-one mentorship from an experienced software engineer.
• Global Collaboration: Engage and collaborate with a globally connected team of engineers, fellow interns, and other departments across various international cities.
• Technology Exploration: Work with and learn new technologies across diverse areas of computer science, including distributed systems, petabyte-scale data processing, machine learning/AI, and UI/UX.
The Must-Haves
• Background: This internship is for students enrolled in a Bachelor’s or Master’s degree program, expected to graduate between Autumn 2026 and Summer 2027.
• Experience: Demonstrated fluency in one or more modern object-oriented programming languages, coupled with a firm grasp of basic data structures and algorithmic techniques.
• Skills: Possess strong capabilities as a quick and self-directed learner, ready to take ownership over the design, planning, and implementation of projects with provided mentorship and support.