Software Engineer Intern (Recommendation Architecture, Feeds Infrastructure) - 2027 Fall
Listed on 2026-08-22
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Software Development
Backend Developer, Software Engineer, Machine Learning/ ML Engineer, Software & AI Developer Internship
Software Engineer Intern (Recommendation Architecture, Feeds Infrastructure) - 2027 Fall
Location:
Seattle
Employment Type:
Intern
Job Code: A23290
Responsibilities
About the Team The Tik Tok Video team works on the systems behind the For You Feed, Tik Tok's personalized recommendation experience. We operate at the intersection of machine learning and large-scale systems, designing and operating the end-to-end pipeline —from offline training data orchestration to real-time online inference—that delivers seamless, high-frequency discovery to over a billion users. We are looking for talented individuals to join us for an internship.
Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally.
Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment. Responsibilities - Build globalized large-scale recommendation system;
- Build extremely efficient and reliable data pipelines for candidates generation, ranking system, profile generation, training examples generation, realtime online training, etc;
- Coach AI to perform release process and production operations, including online anomaly detection and diagnose, release safeguards, etc.
Qualifications
Minimum Qualification(s) - Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline;
- Experience in programming, included but not limited to the following programming languages: C, C++, Java or Golang;
- Effective communication skills and a sense of ownership and drive. Preferred Qualification(s) - Currently pursuing a Master's degree in Computer Science or a related technical discipline.
- Experience in AI coding is a plus.
Job Information
For Pay Transparency Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $42.75- $42.75.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
About Tik Tok
Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of Tik Tok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
When we create and grow together, the possibilities are…
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