Machine Learning Engineer Graduate (TikTok-Data-Search-Search Quality) - 2027 Start

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Communication","Collaboration","Self-direction","Intellectual curiosity"]

Join TikTok’s Search Engineering team to build and improve the search engine and search-quality systems. Work on full-stack search components that combine information retrieval with modern machine learning approaches, including NLP, CV, recommender systems, and LLMs. Contribute to the search core algorithm through content understanding, user behavior modeling, video understanding, and search systems engineering—covering services, data pipelines, tools, and experimentation to improve relevance, latency, and reliability.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TikTok
TikTok
1 day ago

Machine Learning Engineer Graduate (TikTok-Data-Search-Search Quality) - 2027 Start

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Join TikTok’s Search Engineering team to build and improve the search engine and search-quality systems. Work on full-stack search components that combine information retrieval with modern machine learning approaches, including NLP, CV, recommender systems, and LLMs. Contribute to the search core algorithm through content understanding, user behavior modeling, video understanding, and search systems engineering—covering services, data pipelines, tools, and experimentation to improve relevance, latency, and reliability.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Participate in improving the search core algorithm, including content understanding using NLP/CV and LLMs to match relevant videos.
  • •Solve recommendation problems in search to improve personalization and user understanding.
  • •Improve video understanding using NLP/CV/LLM approaches for better authority, credibility, and usefulness of results.
  • •Design, build, test, and maintain search services, data pipelines, tools, and platform components supporting search quality, reliability, and latency.
  • •Contribute to building and maintaining the full-stack search engine system that combines information retrieval with modern machine learning methods.

Key Requirements

  • •Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Statistics, Mathematics, or a related technical discipline.
  • •Must graduate with an applicable degree before onboarding.
  • •Experience with at least one programming language such as Python, Java, C++, Go, or JavaScript through coursework, internships, projects, or equivalent practical experience.
  • •Experience with search, recommendation, machine learning, information retrieval, natural language processing, ranking, data mining, or backend systems.
  • •Familiarity with distributed systems, databases, data pipelines, online experimentation, or large-scale service development.
Experience:SearchRecommendationMachine learningInformation retrievalNatural language processingRankingData miningBackend systemsDistributed systemsOnline experimentationLarge-scale services
Skills:Problem-solvingCommunicationCollaborationSelf-directionIntellectual curiosity
Tech Stack:PythonJavaC++GoJavaScriptNLPCVLLMRecommender systemDistributed systemsDatabasesData pipelinesOnline experimentationLarge-scale service development

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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