Senior Real-Time Recommendations Engineer

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 137,000 - 360,000

Full time

9 days ago

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Job summary

TikTok USDS Joint Venture is seeking a skilled engineer to help design and optimize the architecture for our recommendation system. This role focuses on building high‑performance services and scalable data pipelines to support real-time decision making and large-scale personalization for users.

You will contribute to globalized recommendation infrastructure and develop computing/storage frameworks, collaborating on an on-site, full‑time schedule as the team expands.

Qualifications

  • Bachelor's degree or above in Computer Science or related field.
  • 3+ years of experience building scalable systems.
  • Proficient in C, C++, Java or Golang.

Responsibilities

  • Build and maintain high performance online services for TikTok recommendation system.
  • Build efficient data pipelines for candidate/profile generation and real-time training.
  • Build globalized large-scale recommendation system.
  • Design and develop high performance computing frameworks and storage systems.

Skills

C
C++
Java
Golang

Education

Bachelor's degree or above in CS or related fields

Job description

TikTok USDS Joint Venture is seeking a skilled engineer to help design and optimize the architecture for our recommendation system. This role focuses on building high‑performance services and scalable data pipelines to support real-time decision making and large-scale personalization for users.

You will contribute to globalized recommendation infrastructure and develop computing/storage frameworks, collaborating on an on-site, full‑time schedule as the team expands.

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