Machine Learning Engineer (CV/NLP/Multimodal LLM-TikTok Trust and Safety) - 2025 Start (MS/BS)
San Jose, California, United States
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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Machine Learning Jobs
NLP Jobs
Tags: Computer Vision Engineering LLMs Machine Learning ML models Model training NLP Pipelines Reinforcement Learning
Perks/benefits: Career development
Region:
North America
Country:
United States
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