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

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 110,000 - 180,000; 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

ByteDance PTE. LTD. in Singapore is seeking a talented software engineer for its Live Recommendation Architecture team.

You will build and optimize online services and data pipelines for TikTok-like live recommendations, focusing on stability, scalability, and low latency in a fast-paced, global environment. Joining this team means collaborating with applied ML engineers to design scalable architectures and storage solutions while contributing to real-time data processing and batch pipelines.

Qualifications

• Bachelor's degree or higher in AI, CS, software development or related field.
• Proficient in at least one of C, C++, Java or Golang.
• Strong coding and debugging abilities.
• Familiar with open source big data frameworks (Hadoop, Hive, Flink/Spark, Kafka, HBase, Redis, RocksDB, Elasticsearch).
• Excellent communication and ownership mindset.

Responsibilities

• Build and maintain high-performance online services and data pipelines for live recommendation systems.
• Design and develop high-performance computing frameworks and storage systems for real-time scenarios.
• Build globalized large-scale recommendation systems for live broadcast use cases.
• Ensure production system stability through troubleshooting and tooling development.
• Develop data analytics and visualization capabilities to derive insights from large datasets.
• Apply data mining, machine learning and NLP techniques to extract insights from big data.

Skills

Effective communication

Ownership

Strong coding & debugging

Education

Bachelor's degree or above in AI/ CS/ Software Development/ CS Engineering

Tools

C

C++

Java

Golang

Hadoop

Hive

Flink

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.

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

• Build and maintain high-performance online services and data pipelines for TikTok Live recommendation systems.
• Design and develop high-performance computing frameworks and storage systems to support real-time live streaming scenarios.
• Build globalized large-scale recommendation systems for live broadcast use cases.
• Ensure production system stability through troubleshooting, mechanism design, and tooling development.
• Develop data analytics and visualization capabilities to transform raw data into actionable insights.
• Apply data mining, machine learning, and NLP techniques to extract insights from large-scale datasets.

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.
• Experience programming in at least one of the following programming languages: C, C++, Java or Golang
• Effective communication skills and a sense of ownership and drive
• 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. for big data roles.
• Familiar with Java, C ++ and other programming languages for big data roles.
• Strong coding and trouble shooting ability

Preferred Qualifications:

• Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus
• 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 environ