Algorithm Engineer Intern ( LBS ; BS​/MS

Responsibilities

Tik Tok Location Based Services (LBS) Platform's goal is to build a global high-quality LBS database and high-performance LBS services that connects Tik Tok users with nearby merchants and local services.

• Build a global POI (Point of Interest) database, multi‑source POI integration, and POI nearby search service to support Tik Tok local services.
• Build geocoding database, geocoding service, and IP location service to support Tik Tok local services and monetization products.

• Build location models based on multi‑source data such as GPS, IP, base stations, and WiFi, optimize location strategies, and continuously improve location accuracy.
• Mine and tag global user profiles to understand users' behaviors.
• Apply big location data to provide customized solutions with higher efficiency, better results, and lower costs for Tik Tok's commercialization, local services, e‑commerce, and other businesses to continuously enhance industry competitiveness.

Successful candidates must be able to commit to at least a 3‑month internship period.

Successful candidates must be able to commit to either of the following internship periods.

• From January to June
• From May to August (Summer)

• Undergraduate or postgraduate currently pursuing a degree/master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Strong programming skills, solid foundation in data structures and algorithms, and excellent system design capability.
• Solid knowledge of machine learning and deep learning theories, with hands‑on experience and understanding of common problems and solutions in model iteration optimization.

• Good communication and requirement‑understanding skills to efficiently collaborate with PMs for project iteration.
• Strong sense of ownership, good learning ability, and capability to grow rapidly with the team.