Backend Engineer, Application Computing (Data + AI)

TIKTOK PTE. LTD.

Singapore
Not specified (assumed to be hybrid based on common practices in tech companies).
Bachelor's degree in computer science or related field
3+ years experience in big data computing systems
Hands-on experience with flink, spark, paimon, velox
TikTok is seeking a Backend Engineer for its Application Computing team in Singapore, focusing on the design and development of offline computing systems for large-scale recommendation architectures. The ideal candidate will have a strong background in big data computing and machine learning technologies

Job Summary

  • The role focuses on designing efficient offline computing systems for recommendation architectures serving over 1 billion users across multiple products.
  • Candidates will build flexible, scalable, stable, and high-performance storage systems and computing models to support massive data infrastructure.
  • The team fosters an inclusive environment where employees are valued for their skills and unique perspectives to inspire creativity and bring joy.

Matching Summary

Match Score: 85

TikTok is seeking a Backend Engineer for its Application Computing team in Singapore, focusing on the design and development of offline computing systems for large-scale recommendation architectures. The ideal candidate will have a strong background in big data computing and machine learning technologies.

Skills & Requirements

Must-have

  • Bachelor's degree in Computer Science or related field
  • 3+ years experience in big data computing systems
  • Hands-on experience with Flink, Spark, Paimon, Velox
  • Proficiency in Java, C++, Scala, or Python programming
  • Experience with PyTorch, LLMs, and multimodal systems

Nice-to-have

  • Passion for tackling undefined challenging problems
  • Habit of following latest academic papers and tech trends
  • Strong enthusiasm for learning new technologies

Key Requirements

  • Minimum 3 years of relevant professional experience
  • Deep understanding of machine learning technology stacks
  • Practical experience with features and samples in search and advertising

Work Rights

Not specified

Tailored Resume

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