Machine Learning Engineer Intern (TikTok-Local Services-LBS Platform) - 2026 Start (PhD)

hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

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 PhD 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.

Preferred Qualifications:

• Graduating December 2026 onwards with the intent to return to degree program after the completion of the internship.
  -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.

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