Software Engineer Graduate(TikTok Recommendation Platform) - 2027 Start

TIKTOK PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; 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 is seeking a software engineer to design and develop intelligent tools for large-scale recommendation systems. You will build AI Agent-based workflows, improve release safety, and enhance observability across multi-region environments.

Join a fast-growing tech team focused on scalable architecture, data-driven insights, and cost-effective engineering practices. This role offers opportunities to tackle bold challenges and advance product incubation.

Qualifications

• Minimum qualifications include a Bachelor's or Master's in AI, CS, or software engineering.
• Solid programming experience in at least one of the languages listed (C, C++, Java, Go).
• Strong understanding of software engineering fundamentals.

Responsibilities

• Design and develop intelligent engineering tools for large-scale recommendation systems.
• Build AI Agent-based development workflow systems to improve stability and efficiency.
• Develop metrics-driven release systems to ensure safe deployments.
• Enhance observability for complex global environments with end-to-end tracing.
• Advance platform architectures and data intelligence helpers for scalable ops.

Skills

Problem solving

Education

Bachelor's or Master's in AI/CS/Software engineering

Tools

C

C++

Java

Golang

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

The Recommendation Architecture Team is responsible for designing and developing next-generation recommendation system architectures across multiple products within the company. We ensure system stability and high availability, optimize performance for online services and offline data pipelines, address system bottlenecks, and reduce operational costs. We also abstract reusable system components and platform capabilities to support recommendation and data middleware platforms, accelerate new product incubation, and empower enterprise clients. With the rapid evolution of AI, the team is actively exploring AI Agent-driven engineering systems to reshape R&D workflows, improve development efficiency, and build more intelligent, reliable, and cost-effective engineering infrastructure.

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 develop intelligent engineering tools for large-scale recommendation systems, providing standardized and productized solutions to improve R&D efficiency and engineering quality.
• Build AI Agent-based development workflow systems, including long-running agents, autonomous task execution, engineering copilots, and intelligent automation platforms, to improve system stability, operational efficiency, and cost effectiveness across the software development lifecycle.
• Develop business metrics-driven gray release systems to ensure safe, stable, and efficient release strategies and workflows.
• Enhance observability for recommendation systems in complex global environments, including multi-region, multi-data center, and multi-language scenarios; establish end-to-end tracing systems and optimize issue attribution mechanisms.
• Build algorithm engineering toolchains to accelerate the end-to-end process from experimental algorithm/model development to production deployment, improving iteration efficiency and delivery quality.
• Overhaul platform ecosystem architectures and develop data intelligence assistants to enable smarter system operation, faster problem diagnosis, and more scalable engineering practices.

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.
• Solid programming experience in at least one of the following languages: C, C++, Java, or Golang.
• Strong understanding of software engineering fundamenta