Machine Learning/Research Engineer Graduate (Monetization Technology-Ads Core Global) - 2027 Start (PhD)

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Analytical thinking","Critical thinking"]

Work on TikTok’s Ads Core ML team within Global Monetization Technology to advance global advertising delivery. You will research and develop ML/DL, RL, LLM, and recommendation approaches, optimize efficiency across the ad funnel (recall/fine-sort, CTR/CVR, personalization), and build scalable delivery pipelines for modeling, bidding, traffic strategy, and organic video recommendation. The role focuses on improving both user experience and advertiser ROI.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TikTok
TikTok
15 hours ago

Machine Learning/Research Engineer Graduate (Monetization Technology-Ads Core Global) - 2027 Start (PhD)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Work on TikTok’s Ads Core ML team within Global Monetization Technology to advance global advertising delivery. You will research and develop ML/DL, RL, LLM, and recommendation approaches, optimize efficiency across the ad funnel (recall/fine-sort, CTR/CVR, personalization), and build scalable delivery pipelines for modeling, bidding, traffic strategy, and organic video recommendation. The role focuses on improving both user experience and advertiser ROI.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Research and develop a global advertising delivery system using ML/DL, RL, LLM, and scaling approaches for ad recommendation.
  • •Optimize efficiency across the advertising funnel, including recall/rough-sort and fine-sort (CTR/CVR), format/creative personalization, and resource allocation.
  • •Design and establish system frameworks and standards to improve modeling efficiency over time.
  • •Build and manage the delivery pipeline covering modeling, bidding, traffic strategy, and optimization of organic video recommendation systems for different vertical needs.
  • •Drive user experience and revenue target outcomes and strengthen the team’s role as a core organizational pillar.

Key Requirements

  • •Currently completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • •Strong programming skills in C/C++ and Python, with knowledge of data structures and algorithms and experience in a Linux development environment.
  • •Theoretical grounding in machine learning/deep learning/algorithm concepts and techniques.
  • •Experience with the architecture and implementation of at least one major ML framework (TensorFlow, PyTorch, or MXNet).
  • •Good analytical and critical thinking skills.
Experience:Online advertisingAds biddingRecommender systemsDistributed systems
Education:PhD / Doctorate
Skills:Analytical thinkingCritical thinking
Tech Stack:C/C++PythonLinuxTensorFlowPyTorchMXNetML/DLRLLLMSpark

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