Machine Learning Engineer Graduate Local Services - 2026 Start (PhD)

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The Local Services 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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. 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 quality improvement and governance, POI recommendation, user understanding, 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.
Minimum Qualifications: - PHD Degree in Computer Science or related major. - 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, NER, text mining, representation learning, GNN, etc. - Experience in big data、data warehouse、streaming data flow and real time data processing system is preferred.
Location:
San Jose

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