12 hours ago

(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Summer (BS/MS)

✓ 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 Recommendation Algorithm team to help build industry-leading recommendation systems that improve user experience, platform safety, and content discovery. Deliver end-to-end ML solutions addressing content understanding, LLMs, robustness, and fairness. Own and optimize the full-stack ML pipeline from algorithm design through system infrastructure, collaborating cross-functionally to develop intelligent product strategies for key global markets. Internship runs 12 weeks in Summer 2026.

Location: San Jose

Workplace: Onsite

Employment Type: Internship · 3 months

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Drive development of recommendation systems to elevate user experience, strengthen platform safety, and support a content ecosystem.
•Deliver end-to-end machine learning solutions for high-priority product challenges including content understanding, LLMs, robustness, and fairness.
•Own and optimize the full-stack ML pipeline from algorithm design to system infrastructure.
•Collaborate with cross-functional teams to craft innovative product strategies and intelligent solutions for TikTok growth in key global markets.

Key Requirements

•Currently pursuing a Master’s degree with a background in computer science, machine learning, or similar fields.
•Good knowledge of theoretical and empirical research methods for research problems.
•Solid knowledge of at least one popular deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures.
•Ability to commit to working for 12 weeks during Summer 2026.
•Preferred: research experience in areas like applied machine learning, ML infrastructure, large-scale recommendation systems, or market-facing ML products.

Education:Master's in Computer Science, Machine Learning (or similar)

Skills:ResearchData structure and algorithm design

Tech Stack:PythonPyTorchTensorFlowC/C++ShellLLMsDeep 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

Website LinkedIn

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TikTok

12 hours ago

(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Summer (BS/MS)

✓ 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

Location: San Jose

Workplace: Onsite

Employment Type: Internship · 3 months

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Drive development of recommendation systems to elevate user experience, strengthen platform safety, and support a content ecosystem.
•Deliver end-to-end machine learning solutions for high-priority product challenges including content understanding, LLMs, robustness, and fairness.
•Own and optimize the full-stack ML pipeline from algorithm design to system infrastructure.
•Collaborate with cross-functional teams to craft innovative product strategies and intelligent solutions for TikTok growth in key global markets.

Key Requirements

•Currently pursuing a Master’s degree with a background in computer science, machine learning, or similar fields.
•Good knowledge of theoretical and empirical research methods for research problems.
•Solid knowledge of at least one popular deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures.
•Ability to commit to working for 12 weeks during Summer 2026.
•Preferred: research experience in areas like applied machine learning, ML infrastructure, large-scale recommendation systems, or market-facing ML products.

Education:Master's in Computer Science, Machine Learning (or similar)

Skills:ResearchData structure and algorithm design

Tech Stack:PythonPyTorchTensorFlowC/C++ShellLLMsDeep neural network architectures

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn