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

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Problem-solving","Collaborative mindset","Debugging complex systems"]

Build and scale machine learning systems for content moderation in support of TikTok monetization. You’ll work on end-to-end moderation capabilities, including accurate rejection decisions, interpretable reasoning, and intelligent remediation, with performance surpassing human benchmarks. The role involves applying ML research to dynamic, adversarial moderation scenarios across long-form content, multilingual data, and limited samples, partnering with global teams to deliver production-ready models.

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FursaFursa
TikTok
TikTok
14 hours ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and scale machine learning systems for content moderation in support of TikTok monetization. You’ll work on end-to-end moderation capabilities, including accurate rejection decisions, interpretable reasoning, and intelligent remediation, with performance surpassing human benchmarks. The role involves applying ML research to dynamic, adversarial moderation scenarios across long-form content, multilingual data, and limited samples, partnering with global teams to deliver production-ready models.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Graduate level

Key Responsibilities

  • •Build a leading moderation system with end-to-end capabilities for accurate rejection decisions, interpretable reasoning, and intelligent remediation.
  • •Develop fully automated moderation solutions with performance surpassing human benchmarks.
  • •Create highly scalable machine learning models for a next-generation content understanding system for monetization.
  • •Address technical challenges in moderation such as evolving rules, adversarial tactics, long-form text, long temporal sequences, multilingual content, and limited samples.
  • •Partner across disciplines with global teams to deliver reliable, high-performing ML platforms and services.

Key Requirements

  • •Completing or recently completed a PhD in Computer Science, Software Engineering, Electronic Engineering, Automation, Mathematics, Statistics, or a related technical discipline, with graduation within 12 months.
  • •Hands-on experience implementing, training, or deploying models in areas such as Ads, Search, Recommender Systems, NLP, CV, Multimodal, or Agent technologies via projects or internships.
  • •Practical familiarity with large language model fundamentals (pre-training, fine-tuning, prompting, inference and deployment) across at least one stage.
  • •Strong software engineering fundamentals: clean, testable code; version control; and ability to debug complex systems end to end.
  • •Proficiency in Python and at least one deep learning framework (PyTorch or TensorFlow).
Education:PhD / Doctorate
Skills:Problem-solvingCollaborative mindsetDebugging complex systems
Tech Stack:PythonPyTorchTensorFlowDeepSpeedMegatronFSDPVLLMSGLangTensorRT-LLMRAGNLPCVMultimodalAgent technologiesVersion control

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