Software Engineer, Recommendation Infrastructure (Seattle)

Seattle, Washington, US Until 8/21/2026 3+ 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

- Bachelor's degree or above, majoring in Computer Science or related fields, with 3-5 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, high-performance online services and data pipelines for TikTok recommendations.

Job title

Software Engineer, Recommendation Infrastructure

Experience level

3-5 years

Minimum experience

3+ years exp

Industry

software

Location requirements

Seattle, remote work not specified

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

CC++JavaGolang

Preferred skills

personalized recommendationssearch enginemachine learningbig data frameworks

Specializations

recommendation systemdata pipelinesdistributed storagehigh performance computing
Locations

Structured locations inferred from the posting.

Seattle, WA, USA

On-site City