Graduate Research Engineer, Monetization Tech

TikTok; San Jose (CA); On-site; USD 128,000 - 256,000; Full time

Job summary

TikTok in San Jose is seeking a Research Engineer Graduate for Monetization Technology - Business Integrity. You will contribute to a next-generation content understanding system that improves advertiser value and user experience by building scalable machine learning models and moderation pipelines.

You’ll work with global teams to ship reliable, high-performing solutions and gain deep product context through hands-on experimentation.

Qualifications

• Master's degree in CS, software engineering, or related technical discipline, with expected graduation within 12 months.
• Hands-on experience implementing or deploying ML models in Ads, Search, Recommender Systems, NLP, CV, multimodal, or agent tech.
• Familiarity with large language models including pre-training, fine-tuning, prompting, inference and deployment.
• Strong software engineering fundamentals and ability to debug complex end-to-end systems.
• Proficiency in Python and DL frameworks such as PyTorch or TensorFlow.

Responsibilities

• Build a leading moderation system enabling end-to-end capabilities for accurate decisions and interpretable reasoning.
• Develop scalable machine learning models and partner across disciplines with global teams.
• Contribute to a next-generation content understanding system for monetization and advertiser value.

Skills

Python

Software engineering fundamentals

ML model deployment

NLP/Multimodal

Collaboration

Problem solving

Education

Master's degree in Computer Science / related field

Bachelor's with strong research output (exceptional candidates)

Tools

PyTorch

TensorFlow

DeepSpeed

Megatron

FSDP

Job description

TikTok in San Jose is seeking a Research Engineer Graduate for Monetization Technology - Business Integrity. You will contribute to a next-generation content understanding system that improves advertiser value and user experience by building scalable machine learning models and moderation pipelines.

You’ll work with global teams to ship reliable, high-performing solutions and gain deep product context through hands-on experimentation.