Backend Engineer - Scalable Ecommerce Recommendations Infra

TIKTOK PTE. LTD.

Singapore

On-site

SGD 90,000 - 130,000

Full time

3 days ago
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Job summary

TikTok is hiring for an engineering role focused on building and maintaining high-performance services for the TikTok recommendation system. You will work on scalable data pipelines, globalized recommender systems, and cutting-edge computing frameworks.

The role requires a CS degree and experience with C/C++, Java, or Golang, plus strong communication and ownership. E-commerce and ML experience are a plus for this team.

Qualifications

  • Bachelor's degree in Computer Science or related field is required.
  • Experience with C/C++, Java or Golang is required.
  • Strong communication and ownership mindset are essential.
  • Experience in recommendations, search, ML, or big data is a plus.

Responsibilities

  • Build and maintain high performance online services for TikTok recommendation system.
  • Build efficient and reliable data pipelines for generation and training processes.
  • Build globalized large-scale recommendation system.
  • Design and develop high performance computing frameworks and storage systems.
  • Research, design, and develop software or specialized utilities.
  • Analyze user needs and develop software solutions using CS principles.
  • Update software, enhance capabilities, and develop tests and validation.
  • Collaborate with hardware engineers to integrate hardware and software.

Skills

C
C++
Java
Golang
Communication
Ownership

Education

Bachelor's degree in Computer Science or related field

Tools

Data pipelines
Distributed storage
Big data frameworks

Job description

TikTok is hiring for an engineering role focused on building and maintaining high-performance services for the TikTok recommendation system. You will work on scalable data pipelines, globalized recommender systems, and cutting-edge computing frameworks.

The role requires a CS degree and experience with C/C++, Java, or Golang, plus strong communication and ownership. E-commerce and ML experience are a plus for this team.

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