2 days ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Join the Global E-Commerce Content Recommendation team to build and improve end-to-end recommendation systems. You’ll explore generative recommendation approaches (including diffusion models, prompt learning, and multimodal generation), develop multi-model cross-scenario recommendations across livestreams, short videos, and search, and optimize algorithms and infrastructure. Work with researchers and engineers to deliver research-driven product impact and grow TikTok in key markets.

Location: San Jose

Workplace: Onsite

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Build industry-leading recommendation systems to improve user experience, content ecosystem, and platform security.
•Explore generative recommendation techniques (diffusion models, prompt learning, multimodal content generation) for content discovery.
•Develop multi-model and 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 the full stack ML system and optimize algorithms and infrastructure to improve recommendation performance.

Key Requirements

•Currently pursuing a PhD in computer science, machine learning, or a similar field.
•Good knowledge of theoretical and empirical research for addressing research problems.
•Solid knowledge and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures.
•Research experience in areas such as applied machine learning, machine learning infrastructure, large-scale recommendation systems, or market-facing ML products.
•Proficiency in C/C++, Python, and shell programming, with deep understanding of data structures and algorithm design.

Education:PhD / Doctorate

Skills:CollaborationResearchProblem-solving

Tech Stack:PyTorchTensorFlowCC++PythonShellDiffusion ModelsDeep neural networks

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

Website LinkedIn

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TikTok

2 days ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Build industry-leading recommendation systems to improve user experience, content ecosystem, and platform security.
•Explore generative recommendation techniques (diffusion models, prompt learning, multimodal content generation) for content discovery.
•Develop multi-model and 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 the full stack ML system and optimize algorithms and infrastructure to improve recommendation performance.

Key Requirements

•Currently pursuing a PhD in computer science, machine learning, or a similar field.
•Good knowledge of theoretical and empirical research for addressing research problems.
•Solid knowledge and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures.
•Research experience in areas such as applied machine learning, machine learning infrastructure, large-scale recommendation systems, or market-facing ML products.
•Proficiency in C/C++, Python, and shell programming, with deep understanding of data structures and algorithm design.

Education:PhD / Doctorate

Skills:CollaborationResearchProblem-solving

Tech Stack:PyTorchTensorFlowCC++PythonShellDiffusion ModelsDeep neural networks

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn