12 hours ago

Big Data Engineer Intern (TikTok Live Recommendation Architecture) - 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 the architecture behind TikTok Live recommendation systems, focusing on offline data pipelines and high-performance storage and computing. Design scalable distributed systems for large-scale data and business services, and help ensure production stability through troubleshooting and reliability mechanisms. Work with applied machine learning engineers to apply data mining, data modeling, NLP, and machine learning, and develop analytics workflows to visualize, interpret, and report insights.

Location: Singapore

Workplace: Onsite

Employment Type: Internship

Job Function: Architecture & Urban Planning

Seniority: Intern level

Key Responsibilities

•Design and implement offline data architecture for large-scale recommendation systems.
•Design and implement flexible, scalable, high-performance storage and computing systems.
•Troubleshoot production systems and implement mechanisms/tools to ensure overall stability.
•Build distributed storage and computing systems to support reliable infrastructure for massive data and large-scale business systems.
•Develop analytics and techniques to transform raw data into meaningful information; apply data mining, data modeling, NLP, and machine learning; visualize and report findings.

Key Requirements

•Pursuing an undergraduate or postgraduate degree in Computer Science, Computer Engineering, Information Systems, or a related technical major.
•Familiar with open-source big data frameworks such as Hadoop, Hive, Flink (including FlinkSQL), Spark, Kafka, HBase, Redis, RocksDB, and ElasticSearch.
•Familiar with Java, C++, and other programming languages.
•Strong coding and troubleshooting ability.
•Able to commit to at least a 3-month internship period.

Experience:Big dataRecommendation systemsDistributed systemsMachine learning

Education:Bachelor's in Computer Science, Computer Engineering, Information Systems (or related technical major)

Skills:AgileSelf-learningProduct ownershipCreative problem solvingTeam collaboration

Tech Stack:HadoopHiveFlinkFlinkSQLSparkKafkaHBaseRedisRocksDBElasticSearchJavaC++Natural language processing (NLP)Machine learning

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

Big Data Engineer Intern (TikTok Live Recommendation Architecture) - 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

Workplace: Onsite

Employment Type: Internship

Job Function: Architecture & Urban Planning

Seniority: Intern level

Key Responsibilities

•Design and implement offline data architecture for large-scale recommendation systems.
•Design and implement flexible, scalable, high-performance storage and computing systems.
•Troubleshoot production systems and implement mechanisms/tools to ensure overall stability.
•Build distributed storage and computing systems to support reliable infrastructure for massive data and large-scale business systems.
•Develop analytics and techniques to transform raw data into meaningful information; apply data mining, data modeling, NLP, and machine learning; visualize and report findings.

Key Requirements

•Pursuing an undergraduate or postgraduate degree in Computer Science, Computer Engineering, Information Systems, or a related technical major.
•Familiar with open-source big data frameworks such as Hadoop, Hive, Flink (including FlinkSQL), Spark, Kafka, HBase, Redis, RocksDB, and ElasticSearch.
•Familiar with Java, C++, and other programming languages.
•Strong coding and troubleshooting ability.
•Able to commit to at least a 3-month internship period.

Experience:Big dataRecommendation systemsDistributed systemsMachine learning

Education:Bachelor's in Computer Science, Computer Engineering, Information Systems (or related technical major)

Skills:AgileSelf-learningProduct ownershipCreative problem solvingTeam collaboration

Tech Stack:HadoopHiveFlinkFlinkSQLSparkKafkaHBaseRedisRocksDBElasticSearchJavaC++Natural language processing (NLP)Machine learning

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn