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

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance is a leading tech company in Singapore seeking a data/ML systems engineer to help design and optimize live recommendation architectures. You will work with large-scale data processing, build robust storage and compute systems, and collaborate with machine learning engineers to deliver high quality services.

The role emphasizes production stability, performance optimization, and scalable data pipelines.

Qualifications

• Bachelor's degree or higher in AI, CS, or a related field.
• Experience with open-source big data frameworks (Hadoop, Hive, Spark, Kafka, Flink).
• Proficiency in Java and C++ with strong debugging skills.

Responsibilities

• Design offline data architecture for large-scale recommendation systems.
• Build scalable storage and computing systems.
• Troubleshoot production systems to ensure stability and performance.
• Develop data analytics and ML features to improve recommendations.

Skills

Big data frameworks

Java

C++

Troubleshooting

Team collaboration

Education

Bachelor's degree or higher in AI/CS/related field

Tools

Hadoop

Hive

Flink

FlinkSQL

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Job description

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.

As ByteDancers, 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. 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

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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:
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.

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 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 degree or above 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.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