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

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Stock options

Competitive compensation

Flexible hours

Career growth opportunity

Paid leave

Job summary

ByteDance Singapore is seeking talented graduates to join the Recommendation Architecture Team. You will design and optimize the recommendation system architecture to deliver stable, high-performance experiences for TikTok users.

You will also build scalable backend services focused on security and efficiency, while collaborating with global teams across locations. The role emphasizes bold ideas, rapid learning, and opportunities to grow in a fast-moving, culturally diverse environment.

Qualifications

• Bachelor's degree or higher in AI, computer science, computer engineering or related field.

Responsibilities

• Design and optimize recommendation system architectures for stability, scalability, and performance across feeds and vertical content scenarios.
• Build and optimize backend systems for data security, modularity, and computational efficiency.
• Ensure production system reliability through troubleshooting and tooling development.
• Collaborate with global teams to tackle architecture challenges and serve TikTok users worldwide.
• Pursue bold ideas and contribute to growth in a fast-moving, diverse team environment.

Skills

Go

Python

Java

C++

Distributed systems

Education

Bachelor's degree or above in AI/CS/CE or related

Tools

Flink

Spark

Kafka

Pulsar

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 Recommendation Architecture Team is responsible for building and optimizing the architecture of the recommendation system to provide the most stable and best experience for users. The team focuses on optimizing the recommendation system architecture, ensuring stability and high availability, and improving the performance of both online services and offline data flows. Collaborating with the algorithm team, we work to enhance recommendation effectiveness and user experience, boost system performance while reducing costs, build data and service mid-platforms, and realize flexible and scalable high-performance storage and computing 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.

• Design and optimize recommendation system architectures to improve development efficiency, performance, scalability, and recommendation effectiveness across feeds and vertical content scenarios.
• Build and optimize backend systems and services for data security, modularity, computational efficiency, and scalability.
• Ensure production system stability through troubleshooting, mechanism design, and tooling development.
• Build industry-leading distributed storage and computing systems to support massive data and large-scale business growth.
• Drive content understanding architecture innovation, including LLM training/inference optimization and low-latency inference systems.
• Collaborate with global teams to tackle architecture challenges and serve TikTok users worldwide.

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.
• Strong software programming capabilities, exhibits good code design and coding style;
• Familiarity with at least one of the programming languages: Go, Python, Java or C++;
• Pragmatic understanding of data structure, algorithm design and analysis, networking, data security, distributed system, and highly scalable systems design.
• Familiar with the design of high-concurrency content processing systems, and proficient in distributed frameworks (Flink/Spark) and message queues (Kafka/Pulsar) for content understanding roles.

Preferred Qualifications:

• Interested in recommendation systems, with an understanding of recommendation principles or execution processes.
• Have experience or internship in performance optimization and architecture optimization in high-traffic scenarios.
• Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.
• Have a strong interest in large model training, inference, and optimization, with relevant experience preferred.
• Interested in the direction of content understanding and have practical experience in content understanding reasoning or streaming data processing are preferred.
• Has experience with large language models (LLMs), including Model Training, model inference, efficiency, and throughput optimization.
• Relevant experience in competitions (such as mathematical modeling, programming competitions) is a plus.
• Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.