Senior ML Engineer — Scalable Video Dedup & Content Insight

TikTok Inc.; San Jose (CA); On-site; USD 218,000 - 388,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

401(k) with company match

Paid parental leave

Paid holidays

Job summary

TikTok is seeking a Senior Machine Learning Engineer for the Core Feed Dedup and Copyright system in San Jose. You will design, train, and deploy ML models for video understanding and content integrity, while building scalable data pipelines to support real-time data processing.

Join a team that integrates cutting-edge AI tech to boost model accuracy and efficiency. You will collaborate with cross-functional teams and help scale production systems across billions of users.

Qualifications

• Bachelor's degree or above in Computer Science or related field
• Minimum 3 years of industry experience in Machine Learning
• Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow)
• Experience in Multimedia or Computer Vision areas such as image/video/audio retrieval, representation learning, re-identification, or unsupervised/self-supervised learning

Responsibilities

• Build and scale the Dedup and Copyright system for billions of users.
• Design and deploy ML models for video understanding and content integrity.
• Integrate AI technologies to improve model accuracy, performance, and system efficiency.
• Develop scalable data pipelines and infrastructure to support training and serving of ML models on real-time data.
• Run experiments to evaluate and debug models in production environments.
• Collaborate with cross-functional teams to ensure smooth deployment and monitoring of ML systems

Skills

Machine Learning

PyTorch

TensorFlow

Multimedia/Computer Vision

Education

Bachelor's degree in Computer Science or related field

Master’s degree or higher

Tools

PyTorch

TensorFlow

Job description

TikTok is seeking a Senior Machine Learning Engineer for the Core Feed Dedup and Copyright system in San Jose. You will design, train, and deploy ML models for video understanding and content integrity, while building scalable data pipelines to support real-time data processing.

Join a team that integrates cutting-edge AI tech to boost model accuracy and efficiency. You will collaborate with cross-functional teams and help scale production systems across billions of users.