Machine Learning Scientist Graduate – TikTok Recommendation PhD

Machine Learning Scientist Graduate – Tik Tok Recommendation – 2026 Start (PhD)

and the job listing Expires on February 28, 2026

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 Tik Tok 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 strong research scientist 2026 Graduates , who are excited about growing their business understanding, building scalable and high-performance models and systems, and partnering across disciplines with global teams, in pursuit of excellence.

• 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 Tik Tok in important markets.

• PhD degree or equivalent degree with a background in computer science, machine learning, or similar fields.
• Good knowledge of theoretical and empirical research in addressing research problems 3.
• Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch,Tensor Flow) and familiarity with deep neural network architectures

• Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.
• Strong first-author publications record in top AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.).
• Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design.
• Internship experience in an AI research organization