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

TikTok

Responsibilities

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. We're looking for 2025 new grads to join us - 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. 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.

Qualifications

Minimum Qualifications: 1. Master or Bachelor 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.

Read Full Description
Confirmed 15 hours ago. Posted a day ago.

Discover Similar Jobs

Suggested Articles