Machine Learning Scientist Intern (TikTok-Recommendation) - 2026 Start (PhD)

About the role

The 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.

Qualifications

• Currently pursuing a PhD with a background in computer science, machine learning, or similar fields
• Good knowledge of theoretical and empirical research in addressing research problems
• Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow) 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

Job Information

[For Pay Transparency] Compensation Description (Hourly) - Campus Intern The hourly rate range for this position in the selected city is $60- $60. 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.

[For Pay Transparency] For Los Angeles County (unincorporated) Candidates Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.