Big Data Engineer Graduate (TikTok Global E-Commerce Recommendation & Search Architecture) - 2027 Start

TIKTOK PTE. LTD.; Singapore; On-site; SGD 52,000 - 72,000; Full time

Benefits offered by this job

Yoga and fitness

Stock options

Positive team atmosphere

Career growth opportunity

Paid leave

Flat organization

100+ mil users

Industry experts

Competitive compensation

Flexible hours

Job summary

TikTok PTE. LTD. in Singapore is seeking graduates in AI/CS/Software/CE to join the Search and Recommendation Infra teams. You will design offline data architectures, build scalable data systems, and collaborate with ML engineers to optimize pipelines and models.

The role focuses on end-to-end data processing, ML-driven insights, and large-scale e-commerce support. Strong coding, collaboration, and quick learning are valued.

Qualifications

• Candidates completing or recently completed a Bachelor’s or Master’s degree in AI, software development, CS, or CE.
• Proficiency with open-source big data frameworks (Hadoop, Spark, Kafka, Flink, Hive, ElasticSearch, etc.).
• Familiar with Java and C++ and other programming languages.
• Strong coding and troubleshooting ability.

Responsibilities

• Design and implement offline data architectures for large-scale e-commerce recommendation and search systems.
• Build scalable storage and compute systems for e-commerce big data workloads.
• Ensure production system stability through troubleshooting and tooling development.
• Develop data analytics and visualization to transform raw data into insights.
• Apply data mining, machine learning, and NLP to large-scale datasets.
• Optimize data pipelines for feature generation, model training, and search index construction.

Skills

Java

C++

Education

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

Tools

Hadoop

Hive

Flink

FlinkSQL

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Job description

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.

Job highlights

• Yoga and fitness
• Stock options
• Positive team atmosphere
• Career growth opportunity
• Paid leave
• Flat organization
• 100+ mil users
• Industry experts
• Competitive compensation
• Flexible hours

Responsibilities

Team Introduction:

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation and Search Infra team is responsible for building up and optimizing the infrastructure for such recommendation and search systems, so as to provide the best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

The Search team is mainly responsible for the search algorithm innovation and architecture research and development of TikTok Shop. We use cutting-edge machine learning technology for end-to-end modeling and continuous innovation and breakthroughs, while focusing on the construction and performance optimization of distributed systems and machine learning systems.

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.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Design and implement offline data architectures for large-scale e-commerce recommendation and search systems
• Build flexible, scalable, and high-performance storage and computing systems for e-commerce big data workloads
• Ensure production system stability through troubleshooting, mechanism design, and tooling development
• Develop data analytics and visualization capabilities to transform raw e-commerce data into meaningful insights
• Apply data mining, machine learning, and NLP to extract insights from large-scale e-commerce datasets
• Optimize data pipelines for feature generation, model training, and search index construction for e-commerce scenarios

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.
• Experience in e-commerce or big data related areas is a plus.
• Experience with data warehouse construction or large-scale data processing systems is preferred.