12 hours ago

Backend Engineer Intern (TikTok Recommendation Ecosystem Infrastructure) - 2026 Start (BS/MS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Build and optimize real-time and offline data architecture for large-scale recommendation systems. Design high-performance streaming lakehouse systems that power feature pipelines, model training, and real-time inference. Partner with ML platform teams to support PyTorch training workflows, including data formats, access patterns, and scalable samples. Contribute to core distributed storage and processing components, from file format and stream compaction to metadata management.

Location: Singapore

Employment Type: Internship

Job Function: Software Engineering

Seniority: Intern level

Key Responsibilities

•Design and implement real-time and offline data architecture for large-scale recommendation systems.
•Build scalable, high-performance streaming lakehouse systems for feature pipelines, model training, and real-time inference.
•Collaborate with ML platform teams to support PyTorch-based model training workflows and design efficient data formats/access patterns.
•Own core components of a distributed storage and processing stack, including file formats, stream compaction, and metadata management.

Key Requirements

•Currently pursuing an undergraduate or postgraduate BS/MS degree in Computer Science, Computer Engineering, Information Systems, or a related technical major.
•Experience building large-scale distributed systems, preferably in storage, stream processing, or ML infrastructure.
•Solid understanding of Apache Flink internals, including hands-on work with state management, connectors, or UDFs.
•Familiarity with lakehouse technologies such as Apache Paimon, Iceberg, Delta Lake, or Hudi, especially incremental ingestion, schema evolution, and snapshot isolation.
•Ability to commit to at least a 3-month internship period (internship from Sept. 2025 onwards).

Education:

Tech Stack:Apache FlinkState managementConnectorsUDFsLakehouseApache PaimonIcebergDelta LakeApache HudiStreaming LakehousePyTorchParquetORCLanceJavaScalaC++Distributed systemsFeature pipelinesModel training

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

12 hours ago

Backend Engineer Intern (TikTok Recommendation Ecosystem Infrastructure) - 2026 Start (BS/MS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Singapore

Employment Type: Internship

Job Function: Software Engineering

Seniority: Intern level

Key Responsibilities

•Design and implement real-time and offline data architecture for large-scale recommendation systems.
•Build scalable, high-performance streaming lakehouse systems for feature pipelines, model training, and real-time inference.
•Collaborate with ML platform teams to support PyTorch-based model training workflows and design efficient data formats/access patterns.
•Own core components of a distributed storage and processing stack, including file formats, stream compaction, and metadata management.

Key Requirements

•Currently pursuing an undergraduate or postgraduate BS/MS degree in Computer Science, Computer Engineering, Information Systems, or a related technical major.
•Experience building large-scale distributed systems, preferably in storage, stream processing, or ML infrastructure.
•Solid understanding of Apache Flink internals, including hands-on work with state management, connectors, or UDFs.
•Familiarity with lakehouse technologies such as Apache Paimon, Iceberg, Delta Lake, or Hudi, especially incremental ingestion, schema evolution, and snapshot isolation.
•Ability to commit to at least a 3-month internship period (internship from Sept. 2025 onwards).

Education:

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn