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TikTok

short-form video · e-commerce marketplace

(General Hire) Research Scientist Graduate (TikTok Recommendation) - 2026 Start (BS/MS)

San Francisco Bay Area · OnsitePosted 2 days ago
AI researchNew gradH-1B track record
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Opens the source posting on lifeattiktok.com

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About the role

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Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.

This opening is part of the general hiring process for the TikTok Recommendation organization. Applications will be evaluated by multiple teams within the Recommendation organization to ensure the best fit based on skills and interests.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities - What You'II Do

  • Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; - Deliver end-to-end machine learning solution to address critical product challenges; - Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. - Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

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