Monetization ML Research Engineer - Moderation

TikTok; San Jose (CA); Sur place; USD 162 000 - 317 000; Plein temps

Avantages offerts par ce poste

Health insurance

Dental & Vision

401(k) with match

Paid parental leave

Disability coverage

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Résumé du poste

TikTok in San Jose is seeking a Research Engineer Graduate for Monetization Technology - Business Integrity starting in 2027. You will help build a next‑generation content understanding system that improves advertiser value while protecting user experience, by developing scalable ML models and partnering with global teams.

As a PhD candidate or recent graduate, you will own end‑to‑end moderation capabilities—from model training to deployment—delivering interpretable decisions and automated

Qualifications

• PhD in Computer Science, Software Engineering, or related technical discipline (expected within 12 months).
• Experience implementing/training ML models in Ads, Search, Recommender systems, NLP, CV, multimodal, or agent tech.
• Familiarity with large language models: pre-training, fine-tuning, prompting, inference and deployment.
• Strong software engineering fundamentals: clean code, version control, debugging complex systems.
• Proficiency in Python and at least one DL framework such as PyTorch or TensorFlow.

Responsabilités

• Build a leading moderation system enabling end-to-end decisions with interpretable reasoning and automated remediation.
• Develop scalable machine learning models for content understanding to improve monetization and user experience.
• Collaborate with cross-functional teams across geographies to deploy models in production and monitor performance.

Connaissances

PhD in CS/related

ML model training/deploying

LLMs familiarity

Python & DL frameworks

Problem solving & collaboration

Formation

PhD in CS / related field

Description du poste

TikTok in San Jose is seeking a Research Engineer Graduate for Monetization Technology - Business Integrity starting in 2027. You will help build a next‑generation content understanding system that improves advertiser value while protecting user experience, by developing scalable ML models and partnering with global teams.

As a PhD candidate or recent graduate, you will own end‑to‑end moderation capabilities—from model training to deployment—delivering interpretable decisions and automated