Machine Learning Engineer Graduate (TikTok Trust and Safety-CV/NLP/Multimodal LLM) - 2026 Start (PhD)

Description

The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously.

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.

1. Collaborate with product teams to define business objectives and improve trust and safety strategy.
2. Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
3. Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.
4. Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.

Requirements

Minimum Qualifications:
1. Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
2. Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas.
3. Strong coding skills.
4. Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.