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# Machine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 Start

- **Company:** Tiktok Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Starter
- **Salary:** $128,000.0 - $256,000.0
- **Contract:** Permanent contract
- **Skills:** Machine Learning, Recommender Systems, Reinforcement Learning, Large Language Models, Information Technology, Software Coding
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c6c87b24eb910e63

## About the Role

* Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computer science or a related discipline.
 * Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas.
 * Strong coding skills.
 * Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.

## 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., * Collaborate with product teams to define business objectives and improve trust and safety strategy.

 * Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
 * Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.
 * Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, learning models, Reinforcement learning models, and Large Language Models.


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