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Salary
≈ $72k – $191k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on May 12, 2025.

Overview
Company
Impact
Profile match
TikTok is a short-form video platform owned by the Chinese technology group ByteDance and launched internationally in 2016, growing further after the 2018 merger with the lip-sync app Musical.ly. Its recommendation feed surfaces content by engagement signals rather than social graph, which lets new creators reach large audiences quickly and made the app one of the most downloaded in the world. The company runs dual operating hubs in Singapore and Los Angeles and has built an advertising business, a live streaming economy and the TikTok Shop commerce marketplace on top of the video feed.

岗位职责 / Responsibilities

The TikTok LBS Platform aims to build a high-quality global LBS database and high-performance location-based services that connect TikTok users with nearby merchants and local services.

- Build fused geolocation capabilities by integrating multiple signal sources, such as IP, Wi-Fi, and GPS, to support TikTok Local Services and other TikTok products.

- Build Nearby and Location Profile Services to support TikTok Local Services and other location-based experiences.

You'll explore cutting-edge technologies alongside experts, pushing the boundaries of what's possible. Every line of code you write will serve billions of users. We are a professional and driven team with a collaborative, open, and low-hierarchy culture where people can work together in an equal and relaxed environment.

Responsibilities

- Participate in building an online streaming data scheduling system to ensure high performance, scalability, and reliability of data scheduling.

- Participate in building the end-to-end geolocation data access pipeline, including online and offline data cleansing modules, as well as the development, microservice encapsulation, deployment, and integration of algorithmic models.

- Develop and optimize core geolocation microservices, including online storage, geolocation inference, and location fusion services, to support high-QPS requests from multiple upstream services.

- Continuously analyze and identify system bottlenecks and areas for improvement, driving enhancements in system performance, scalability, and stability.

- Design, build, and evaluate LLM-powered workflows, including prompt engineering, Retrieval-Augmented Generation (RAG), tool use, and agent orchestration, to improve the efficiency of feature engineering and accelerate the development and iteration of geolocation microservices.

- Collaborate with AI engineers to establish efficient module update, deployment, and release mechanisms and processes, improving overall system development and iteration efficiency.

任职要求 / Requirements

Minimum Qualifications:

- Bachelor's degree or higher in Computer Science or a related field.

- Familiarity with at least one programming language such as Java, Golang, PHP, Python, or C++, with a preference for experience in Golang or Java.

- Knowledge including but not limited to Linux systems and principles, MySQL, NoSQL, RPC, MQ, caching technologies, and microservices architecture.

- Experience with building high-concurrency services.

Preferred Qualifications:

- Strong coding and technical documentation skills, with a strong attention to code quality and style. Familiarity with fundamental design patterns and software engineering principles, with the ability to continuously monitor and optimize systems and coordinate across teams to drive project implementation.

- Understanding of geolocation big data processing workflows, with practical experience in areas such as microservice encapsulation, and the development and deployment of algorithmic models. Prior experience in geolocation big data processing and data management is preferred.

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