12 hours ago

Software Engineer Intern (Recommendation Infrastructure) - 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

Help build and optimize the architecture behind TikTok’s recommendation products. You’ll develop high-performance online services, reliable data pipelines for candidate/profile generation and real-time training, and large-scale recommendation systems. The internship also involves designing and building high-performance computing frameworks and storage systems, working on projects tied to products like For You Feed, E-commerce, and Social.

Location: San Jose

Workplace: Onsite

Employment Type: Internship

Job Function: Software Engineering

Seniority: Intern level

Key Responsibilities

•Build and maintain high-performance online services for TikTok recommendation systems that support products like For You Feed, E-commerce, and Social.
•Build efficient and reliable data pipelines for candidate generation, profile generation, training examples generation, and real-time online training.
•Build and support globalized large-scale recommendation systems.
•Design and develop high-performance computing frameworks and storage systems.

Key Requirements

•Currently pursuing an Undergraduate/Master in Computer Science or a related technical discipline.
•Commit to working for 12 weeks during Summer 2026.
•Experience programming using C, C++, Java, or Python.
•Effective communication skills, with a self-driven, ownership mindset.
•Experience in personalized recommendations, search, machine learning, distributed storage, or big data frameworks is preferred.

Experience:Machine learningBig data

Education:Bachelor's in Computer Science

Skills:CommunicationSelf-drivenOwnership

Tech Stack:CC++JavaPythonMachine learningDistributed storageBig dataRecommendation systemsData pipelinesHigh-performance computingStorage systems

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

Software Engineer Intern (Recommendation Infrastructure) - 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

Job Function: Software Engineering

Seniority: Intern level

Key Responsibilities

•Build and maintain high-performance online services for TikTok recommendation systems that support products like For You Feed, E-commerce, and Social.
•Build efficient and reliable data pipelines for candidate generation, profile generation, training examples generation, and real-time online training.
•Build and support globalized large-scale recommendation systems.
•Design and develop high-performance computing frameworks and storage systems.

Key Requirements

•Currently pursuing an Undergraduate/Master in Computer Science or a related technical discipline.
•Commit to working for 12 weeks during Summer 2026.
•Experience programming using C, C++, Java, or Python.
•Effective communication skills, with a self-driven, ownership mindset.
•Experience in personalized recommendations, search, machine learning, distributed storage, or big data frameworks is preferred.

Experience:Machine learningBig data

Education:Bachelor's in Computer Science

Skills:CommunicationSelf-drivenOwnership

Tech Stack:CC++JavaPythonMachine learningDistributed storageBig dataRecommendation systemsData pipelinesHigh-performance computingStorage systems

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn