Big Data Engineer: Scalable Recommendation Architecture

TikTok; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

TikTok Singapore is seeking graduates to join our Recommendation Architecture Team, focusing on building and optimizing the architecture of our recommendation system to deliver stable, high-availability experiences for users.

As a graduate, you will pursue bold ideas, tackle complex challenges, and grow within a fast-moving, globally distributed team. Commitment to onboarding by year-end is required, with opportunities to apply to multiple positions.

Qualifications

• Bachelor's or Master's degree in AI, Software Development, CS, CE or related.
• Familiar with open source big data frameworks (Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch).
• Proficient in Java and C++ with strong coding and debugging skills.

Responsibilities

• Design and implement offline data architectures for large-scale recommendation systems.
• Build flexible, scalable, high-performance storage and computing systems.
• Ensure production system stability through troubleshooting and tooling development.
• Develop data analytics and visualization capabilities to transform raw data into insights.
• Apply data mining, ML, and NLP to extract insights from large datasets.

Skills

Bachelor's or Master's degree in AI/CS

Agile / self-motivated

Good collaborator

Education

Bachelor's or Master's degree in AI/CS/CE/Software Development

Tools

Java

C++

Kafka

Hadoop

Hive

Flink

Spark

ElasticSearch

Redis

RocksDB

Job description

TikTok Singapore is seeking graduates to join our Recommendation Architecture Team, focusing on building and optimizing the architecture of our recommendation system to deliver stable, high-availability experiences for users.

As a graduate, you will pursue bold ideas, tackle complex challenges, and grow within a fast-moving, globally distributed team. Commitment to onboarding by year-end is required, with opportunities to apply to multiple positions.