Machine Learning Engineer (LLM & Personalized Search), TikTok Search

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Initiative","Curiosity","Communication","Collaboration","Technical innovation","Analytical thinking","Business sensitivity","Data thinking","Review and iteration"]

Build and own TikTok’s search personalization for photo-text search. You’ll implement personalized algorithms that combine visual, text, and user behavior data to improve retrieval efficiency and unlock interactive comment value. Using large-model technologies, drive model scaling and generative recommendation, iterate on algorithm effects with cross-functional partners, and ensure stability, performance optimization, and cost control through monitoring and efficiency improvements.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer (LLM & Personalized Search), TikTok Search

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and own TikTok’s search personalization for photo-text search. You’ll implement personalized algorithms that combine visual, text, and user behavior data to improve retrieval efficiency and unlock interactive comment value. Using large-model technologies, drive model scaling and generative recommendation, iterate on algorithm effects with cross-functional partners, and ensure stability, performance optimization, and cost control through monitoring and efficiency improvements.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Implement personalized algorithms for photo-text search by integrating visual, text, and user behavior data for scenario-adaptable retrieval.
  • •Improve photo-text information acquisition efficiency, including personalized interest mining via differentiated value of photo-text.
  • •Drive model iteration and effect review by decomposing business objectives into algorithm strategies and partnering cross-functionally for product innovation.
  • •Explore generative recommendation for photo-text scenarios to match users’ potential needs using large-model technology.
  • •Ensure stability, performance optimization, and cost control of the personalization pipeline via full-link monitoring and training/inference efficiency improvements with architecture teams.

Key Requirements

  • •Bachelor’s degree or above in a computer-related major with strong coding ability, and a solid foundation in data structures and algorithms.
  • •Proficiency in C++/Python and familiarity with common data structures and programming algorithms.
  • •Strong machine learning foundation with in-depth research experience in areas such as NLP and Computer Vision, plus knowledge of major algorithms and data structures.
  • •Strong algorithm design and problem-solving skills, with initiative and curiosity and good communication and collaboration.
  • •Experience in recommendation systems, advertising, and search engines, and/or experience implementing model scaling and generative recommendation (preferred).
Experience:Recommendation systemsAdvertisingSearch engines
Education:Bachelor's in computer-related major
Skills:Problem-solvingInitiativeCuriosityCommunicationCollaborationTechnical innovationAnalytical thinkingBusiness sensitivityData thinkingReview and iteration
Tech Stack:Machine LearningLLMLarge modelGenerative recommendationPersonalized retrievalC++PythonNLPComputer VisionMultimodalRecommender Systems

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