Big Data Engineer Graduate(TikTok Live Recommendation Architecture) - 2027 Start

TikTok

Singapore

On-site

SGD 54,000 - 84,000

Full time

14 days+

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Job summary

TikTok is seeking graduates in AI/CS to join the Live Recommendation Architecture Team in Singapore. You will help design and optimize large-scale data architectures, build scalable storage and computing systems, and work with ML engineers to apply advanced analytics and NLP techniques to massive datasets.

You will contribute to end-to-end data processing pipelines, resolve production issues, and collaborate in a fast-moving, globally distributed team environment.

Qualifications

  • Candidates with a Bachelor's or Master's in AI, software development, CS, or related fields.
  • Familiar with open source big data frameworks (Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch).
  • Proficiency in Java, C++ and other programming languages.
  • Strong coding and troubleshooting abilities.

Responsibilities

  • Design and implement offshore data architecture for large-scale recommendation systems.
  • Develop flexible, scalable, high-performance storage and computing systems.
  • Troubleshoot the production system and ensure stability of operations.
  • Build distributed storage and computing infrastructure for massive data.
  • Develop analytics to transform raw data into meaningful information.
  • Apply data mining, NLP, and machine learning to extract insights from large datasets.

Skills

Strong coding
Teamwork

Education

Bachelor's or Master's in Artificial Intelligence/Software Development/Computer Science/Computer Engineering

Tools

Java
C++
Hadoop
Hive
Flink
FlinkSQL
Spark
Kafka
HBase
Redis
RocksDB
Elasticsearch

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Regular

Responsibilities

Team Introduction:Our Live Recommendation Architecture Team is responsible for building up and optimizing the architecture for live broadcast recommendation system to provide the most stable and best experience for our users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

  • Design and implement reasonable offline data architecture for large-scale recommendation systems
  • Design and implement flexible, scalable, and high-performance storage and computing systems
  • Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
  • Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
  • Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
  • Apply data mining, data modeling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
  • Visualise, interpret, and report data findings and may create data reports as well
Qualifications

Minimum qualifications:

  • Individuals who are completing or have recently completed a Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline.
  • Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
  • Familiar with Java, C ++ and other programming languages
  • Strong coding and trouble shooting ability

Preferred Qualifications:

  • Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver
  • Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment
Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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