Research Scientist Graduate (Monetization Technology - Business Integrity) - 2027 Start (PhD)

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Problem-solving","Collaborative mindset","Translating research into real-world products"]

Build TikTok monetization systems focused on scalable, accurate content moderation. Work with the Business Integrity team to develop an end-to-end moderation pipeline covering rejection decisions, interpretable reasoning, and intelligent remediation. Tackle adversarial and evolving moderation scenarios by advancing large language model methodology, evaluation, and research-to-production translation. As a graduate, commit to an onboarding date by year-end and clearly share your availability and graduation timeline.

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TikTok
TikTok
1 month ago

Research Scientist Graduate (Monetization Technology - Business Integrity) - 2027 Start (PhD)

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Last checked: 12 hours agoStatus: Live

Job Summary

Build TikTok monetization systems focused on scalable, accurate content moderation. Work with the Business Integrity team to develop an end-to-end moderation pipeline covering rejection decisions, interpretable reasoning, and intelligent remediation. Tackle adversarial and evolving moderation scenarios by advancing large language model methodology, evaluation, and research-to-production translation. As a graduate, commit to an onboarding date by year-end and clearly share your availability and graduation timeline.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Build a leading moderation system enabling end-to-end accurate rejection decisions with interpretable reasoning and intelligent remediation.
  • •Develop fully automated moderation capabilities with performance surpassing human benchmarks.
  • •Advance scalable machine learning models for TikTok monetization and content understanding.
  • •Address challenges in moderation including evolving rules, long-form text and sequences, multi-languages, limited samples, and adversarial/AIGC content.
  • •Partner across disciplines with global teams to translate research into real-world products.

Key Requirements

  • •Completing or recently completed a PhD in Computer Science, Software Engineering, Electronic Engineering, Automation, Mathematics, Statistics, or a related technical field (completed or expecting to graduate within 12 months).
  • •Research experience in one or more areas such as Ads, Search, Recommender Systems, NLP, CV, Multimodal, or Agent technologies via publications, thesis work, internships, or projects.
  • •Strong understanding of large language model methodology (pre-training, post-training/alignment, and evaluation), including the ability to read, reproduce, and critique recent literature.
  • •Ability to independently formulate research problems, design controlled experiments, and draw conclusions from ambiguous results.
  • •Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow, with strong problem-solving and collaboration skills.
Education:PhD / Doctorate in Computer Science
Skills:Problem-solvingCollaborative mindsetTranslating research into real-world products
Tech Stack:PythonPyTorchTensorFlowLarge language modelsRLHFRAGMultimodal

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn