Software Engineer, Recommendation Infrastructure

San Jose, California, US Until 8/21/2026 5+ years exp H-1B sponsor history First posted March 29, 2026 Last posted March 29, 2026
Job description

Description

About The Team
Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

Responsibilities - What You'll Do
- Build and maintain high performance online services for TikTok recommendation system;
- Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
- Build globalized large-scale recommendation system;
- Design and develop high performance computing frameworks and storage systems.

Requirements

Minimum Qualifications
- Bachelor's degree or above, majoring in Computer Science or related fields, with 5+ years of experience building scalable system;
- Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
- Effective communication skills and a sense of ownership and drive;
- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

About this role

Summary

Build scalable recommendation systems, data pipelines, and high-performance frameworks.

Job title

Software Engineer, Recommendation Infrastructure

Experience level

5+ years

Minimum experience

5+ years exp

Industry

software

Location requirements

San Jose, remote work not explicitly allowed

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

CC++JavaGolangprogramming

Preferred skills

recommendationssearch enginemachine learningdistributed storagebig data

Specializations

recommendation systemdistributed storagebig datahigh performance computing
Locations

Structured locations inferred from the posting.

San Jose, CA, USA

On-site City