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.

TikTok LBS Platform's goal is to build a global high-quality Location Based Service database and high-performance LBS services that connects TikTok users with nearby merchants and local services.

- Responsible for the design and development of algorithms related to the in-house construction of POI (Point of Interest) data for TikTok Local Services, including but not limited to data mining, quality evaluation, consistency validation, and intelligent review systems.

- Design and implement core Agent modules, including tool invocation planning, memory management, skill orchestration, and retrieval mechanisms focus on self-healing capabilities, fallback strategies, and edge-case handling.

- Build the Agent evaluation framework by defining success metrics, designing regression testing methodologies for non-deterministic outputs, and quantifying trade-offs across cost, latency, and quality.

- Drive the application of large language models in POI scenarios, including fine-tuning, model distillation, knowledge base construction, and retrieval systems, with a strong focus on improving POI data quality.

- Deliver high-efficiency engineering outcomes through AI Coding workflows, leveraging AI toolchains to expand development capabilities and independently complete end-to-end delivery from algorithm design to deployment.

- Develop a deep understanding of POI data scenarios, identify real-world problems through data insights, and continuously drive algorithm iteration and optimization.

Minimum Qualifications:

- Strong problem diagnosis and troubleshooting skills: able to systematically break down issues, generate hypotheses, and validate them quickly when facing problems such as abnormal model loss or unexpected Agent behaviors, rather than relying on trial-and-error solution switching.

- Solid system design mindset: not only focused on model performance, but also highly attentive to system stability, including fallback strategies, fault tolerance, and edge-case handling.

- Strong programming fundamentals: proficient in data structures and algorithms, with the ability to write code that is readable, debuggable, and maintainable.

- Fundamental model iteration capabilities: deep understanding and hands-on experience in one or more of the following areas - data mining, deep learning, computer vision (CV), large language models (LLM), or masked language models (MLM).

Preferred Qualifications

- Hands-on experience in large language model fine-tuning and preference learning.

- Experience in designing or developing Agent, Skill, and Memory related modules.

- Production-level engineering experience with non-deterministic systems, such as recommendation, search, or content understanding systems.

- Strong practical experience with AI Coding workflows, including end-to-end cross-domain project delivery.

Senior Algorithm Engineer - TikTok Location Based Services (Singapore)