(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2027 Summer

TikTok
San Jose
InternshipFunction: Data Science & Machine LearningEducation: mastersSkills: ["Research-minded","Collaboration","Problem-solving","Impact-driven"]

Build and optimize recommendation systems that improve user experience, strengthen platform safety, and grow TikTok’s content ecosystem. Deliver end-to-end machine learning solutions for challenges in content understanding, LLMs, robustness, and fairness. Own and iterate on the full-stack ML pipeline from algorithm design through system infrastructure, while collaborating with cross-functional teams to develop product strategies for key global markets.

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FursaFursa
TikTok
TikTok
1 day ago

(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2027 Summer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and optimize recommendation systems that improve user experience, strengthen platform safety, and grow TikTok’s content ecosystem. Deliver end-to-end machine learning solutions for challenges in content understanding, LLMs, robustness, and fairness. Own and iterate on the full-stack ML pipeline from algorithm design through system infrastructure, while collaborating with cross-functional teams to develop product strategies for key global markets.
Location: San Jose
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Drive development of recommendation systems to elevate user experience and support platform safety.
  • •Deliver end-to-end machine learning solutions for content understanding, LLM-related, robustness, and fairness challenges.
  • •Own and optimize the full-stack ML pipeline from algorithm design to system infrastructure to improve recommendation performance.
  • •Collaborate with cross-functional teams to craft product strategies and intelligent solutions for TikTok’s growth.
  • •Support and innovate on production recommendation models to deliver measurable product impact.

Key Requirements

  • •Currently pursuing a Master’s degree in computer science, machine learning, or a related field.
  • •Good knowledge of theoretical and empirical research methods for solving research problems.
  • •Hands-on knowledge with at least one deep learning framework (e.g., PyTorch or TensorFlow) and familiarity with deep neural network architectures.
  • •Commit to working for 12 weeks during Summer 2027.
  • •Preferred: research experience in applied machine learning, machine learning infrastructure, large-scale recommendation systems, or market-facing ML products.
Experience:Large-scale recommendation systemsAI researchLLMsApplied machine learningMachine learning infrastructureDeep learning
Education:Master's
Skills:Research-mindedCollaborationProblem-solvingImpact-driven
Tech Stack:Machine LearningRecommendation systemsLLMsPyTorchTensorFlowC/C++PythonShellDeep neural network architectures

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