Backend Engineer: Data + AI for Large-Scale Recommendations

TIKTOK PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Positive team atmosphere

Career growth opportunity

Flat organization

Job summary

TikTok PTE. LTD. is building the Recommendation Architecture Data Platform to power large-scale services used by 1B+ users. The team focuses on stable offline computing, scalable storage, and high-performance models that support diverse content and multimodal experiences.

You will contribute to designing robust data pipelines, optimizing performance, and collaborating across product and engineering teams to deliver reliable media recommendations at scale.

Qualifications

• Bachelor’s degree or above in CS or related field; 3+ years of relevant experience.
• Deep understanding of big data computing systems; hands-on with Flink, Spark, Paimon, Velox.
• Familiar with ML stacks including PyTorch, LLMs, and multimodal systems.

Responsibilities

• Design and implement offline computing systems for large-scale recommendations.
• Develop scalable storage and computing models for high performance.
• Troubleshoot production systems and ensure production stability.

Skills

Big data computing

Flink

Spark

Paimon

Velox

Python

Java

C++

Scala

ML concepts

Education

Bachelor's degree in Computer Science

Bachelor's degree in related field

Job description

TikTok PTE. LTD. is building the Recommendation Architecture Data Platform to power large-scale services used by 1B+ users. The team focuses on stable offline computing, scalable storage, and high-performance models that support diverse content and multimodal experiences.

You will contribute to designing robust data pipelines, optimizing performance, and collaborating across product and engineering teams to deliver reliable media recommendations at scale.