Machine Learning Engineer Graduate (Business Integrity) - 2026 Start (BS/MS)

Responsibilities

Team Introduction
Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking Research Engineers who are experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value.

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:
- Focus on ad content understanding and security, conduct algorithm R&D for large model implementation, and apply LLM/MLLM and other AIGC technologies to e-commerce and short-video ad content understanding to build a next-gen large model-based commercial intelligence review system.
- Deepen multimodal understanding tech for text, audio, video, live streaming, etc., optimize model decision-making for high-accuracy autonomous risk judgment, and implement interpretable CoT generation for traceable model decisions.
- Explore RL/Agent applications in multimodal review scenarios, track AIGC cutting-edge trends, and deliver algorithm innovation and engineering implementation tailored to commercial business needs.
- Develop dedicated multimodal content understanding models to empower ad intent recognition, intelligent rule retrieval and accurate risk judgment, enhance advertisers' creation experience, reduce non-compliant content non-detection risks, and protect ad ecosystem security.

Qualifications

Minimum Qualification(s):
- Individuals who are completing or have recently completed a Master/Ph.D. degree in Computer Science, Computer Engineering or other relevant majors.
- Possesses a solid foundation in machine learning, with a deep understanding of technologies such as MLLM/LLM/CV/NLP/multimodal/Agent, and strong self-learning ability.
- Familiar with deep learning frameworks such as PyTorch/TensorFlow, with experience in large-scale model training/deployment, excellent engineering implementation capabilities, proficient in Python/C++.
- Familiar with multimodal model applications, such as content understanding/content integrity/advertisement understanding/product understanding/multimodal understanding/tagging systems.
- Ability to think critically and to formulate solutions to problems in a clear and concise way

Preferred Qualification(s):
- Has experience in ad systems, recommendation, searching, ranking, etc.
- Research experience in but not limited to the following areas (as the first author of published papers at CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.)

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com