Senior Algorithm Engineer - TikTok Location Based Services (Singapore)

Senior Algorithm Engineer - TikTok Location Based Services (Singapore) at TikTok in Singapore.

Responsibilities

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.

Requirements

• 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.

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.