Machine Learning Scientist Intern (Global E-Commerce Content Recommendation) - 2026 Summer (PhD)

TikTok
Seattle
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: phdSkills: ["Research","Problem-solving","Collaboration","Cross-functional teamwork","Critical thinking"]

Build and optimize end-to-end machine learning recommendation systems for global e-commerce content, improving user experience, content discovery, and platform security. Explore generative recommendation approaches such as diffusion models, prompt learning, and multimodal generation. Develop multi-model, cross-scenario systems across livestreams, short videos, and search, partnering with cross-functional teams to drive product impact.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Scientist Intern (Global E-Commerce Content Recommendation) - 2026 Summer (PhD)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and optimize end-to-end machine learning recommendation systems for global e-commerce content, improving user experience, content discovery, and platform security. Explore generative recommendation approaches such as diffusion models, prompt learning, and multimodal generation. Develop multi-model, cross-scenario systems across livestreams, short videos, and search, partnering with cross-functional teams to drive product impact.
Location: Seattle
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Build recommendation systems to improve user experience, content ecosystem, and platform security.
  • •Explore generative recommendation techniques including diffusion models, prompt learning, and multimodal content generation.
  • •Create multi-model, cross-scenario systems enabling unified recommendations across livestreams, short videos, and search.
  • •Deliver end-to-end machine learning solutions to address critical product challenges.
  • •Own and optimize the full-stack machine learning system, including algorithms and infrastructure, and collaborate with cross-functional teams.

Key Requirements

  • •Currently pursuing a PhD with a background in computer science, machine learning, or similar fields.
  • •Good knowledge of theoretical and empirical research in addressing research problems.
  • •Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch or TensorFlow) and familiarity with deep neural network architectures.
  • •Proficiency in C/C++, Python, and shell programming, with a deep understanding of data structures and algorithm design.
  • •Research or internship experience in AI/ML and large-scale recommendation or market-facing ML products.
Experience:AI researchMachine learning infrastructureLarge-scale recommendationMultimodalGenerative AI
Education:PhD / Doctorate in computer science, machine learning, or similar fields
Skills:ResearchProblem-solvingCollaborationCross-functional teamworkCritical thinking
Tech Stack:PyTorchTensorFlowC++PythonShell programmingDeep neural networksDiffusion modelsMultimodal content generationPrompt learning

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