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

TikTok
San Jose, California

About the job

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.

Responsibilities

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.

Qualifications

Minimum

Individuals who are completing or have recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

Proficient coding skills and strong algorithm & data structure using C++/Python or other programming language

Experienced in Machine Learning, familiar with at least one DeepLearning framework, e.g. PyTorch, Tensorflow.

Experienced in one or more of the following areas, e.g. NLP, CV, Recommender System, and Machine Learning, etc

Effective communication and teamwork skills

Preferred

Authors of published papers in accredited academia conferences is an advantage

Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantage