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雇主

TikTok

地点

California · San Jose · 美国

待遇

$面议

工作模式

线下

截止日期

1月8日

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岗位摘要

Build and scale large-scale machine learning systems for video deduplication, copyright detection, a

岗位职责

About the Team
Dedup team drives research and develops cutting-edge AI technologies that power core product experiences.
Our work focuses on building large-scale, high-performance systems that support key strategies such as video deduplication, originality recognition, copyright detection, content safety, and content moderation.
We are committed to delivering a seamless and safe user experience by pushing the boundaries of AI in production environments.
Responsibilities
1. Build and scale the Dedup and Copyright system that supports billions of users globally
2. Design and deploy machine learning models to support video understanding and content integrity
3. Integrate cutting-edge AI technologies to improve model accuracy, performance, and system efficiency
4. Develop scalable data pipelines and infrastructure to support training and serving of ML models on real-time, unstructured data
5. Run experiments to evaluate and debug models in production environments
6. Collaborate with cross-functional teams to ensure smooth deployment and monitoring of ML systems

申请条件

Minimum Qualifications
1. Bachelor's degree or above in Computer Science or a related field
2. Minimum of 1 year of industry experience in Machine Learning
3. Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow)
4. Experience in Multimedia or Computer Vision areas such as image/video/audio retrieval, representation learning, re-identification, or unsupervised/self-supervised learning
Preferred Qualifications
1. Master’s degree or higher in Computer Science or a related field
2. Experience working in large-scale production environments or high-growth tech companies

雇主简介

TikTok is a leading short-form video platform that develops core training and serving infrastructure for large-scale recommendation systems and AI infrastructure for foundation models and LLMs.

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数据来源:TikTok

岗位信息来源于公开渠道,版权归原作者所有