Responsibilities 

TikTok Location Team's goal is to deliver user-facing products based on the location that connects people with places, localized content, and service in the real world around the globe. 

We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. 

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. 

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. 

Responsibilities 
-Work on ML models and algorithms to drive the creation of cutting-edge technical solutions to bridge the gap between technical capabilities and real-world business impact, including POI data production, POI recommendation, reviews sentiment analysis and ranking, geocoding, user profiling, etc. 
-Responsible for algorithmic strategies in geographical content and services, enhancing and optimizing Location-Based Services (LBS) capabilities to support a range of international products. 
-Thoroughly comprehend business intricacies, analyze issues, and devise appropriate algorithms and strategies tailored to various problem domains. Continuously optimize performance and efficacy. 

Qualifications 

Minimum Qualifications: 
- Currently pursuing an Undergraduate/Graduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline; 
-Experienced in programming and algorithmic skills, proficient in languages such as Python, Golang, or C++. 
-Deep understanding of computer architectures, data structures and algorithms. 
-Experienced in one or more of the following topics: Tensorflow, Caffe, MxNet, PyTorch or other machine learning frameworks 
-Have good team communication and collaboration skills.