Machine Learning Scientist Intern (TikTok-Local Services) - 2027 Start

Responsibilities

TikTok Location Based Service 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 leverage POI data, geolocation, and large-scale location-based services (LBS) technologies to provide comprehensive LBS product and service capabilities for overseas businesses.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

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 a Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Able to commit to working for 12 weeks during the Summer of 2027.
- 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.

Preferred Qualifications:
- Experience or domain expertise in one or more of the following areas is preferred: POI (Point of Interest) data algorithms, NLP, recommendation systems, reviews sentiment analysis and ranking, NER, text mining, geocoding, user profiling, etc.
- Experience in big data, data warehouse, streaming data flow and real time data processing system is preferred.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

Responsibilities

Responsibilities

TikTok Location Based Service 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 leverage POI data, geolocation, and large-scale location-based services (LBS) technologies to provide comprehensive LBS product and service capabilities for overseas businesses.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

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

Qualifications

Minimum Qualifications:
- Currently pursuing a Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Able to commit to working for 12 weeks during the Summer of 2027.
- 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.

Preferred Qualifications:
- Experience or domain expertise in one or more of the following areas is preferred: POI (Point of Interest) data algorithms, NLP, recommendation systems, reviews sentiment analysis and ranking, NER, text mining, geocoding, user profiling, etc.
- Experience in big data, data warehouse, streaming data flow and real time data processing system is preferred.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy