TikTok

Machine Learning Engineer Graduate (TikTok Shop - Data Intelligence) - 2026 Start (BS/MS)

Job Location

Singapore, Singapore

Job Description

Overview Machine Learning Engineer Graduate (TikTok Shop - Data Intelligence) - 2026 Start (BS/MS) role at TikTok. About the team The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands. 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. 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. Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities Responsible for development of data-empowered capabilities for the e-commerce platform, enabling different e-commerce verticals to extract and apply key insights from large data assets to meet business needs. Develop data mining pipelines to extract data assets (e.g., entity labels) from aggregated data and enable extraction of actionable insights from large volumes of domain data. Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets. Analyze e-commerce data-related business problems and translate them into data-related requirements that are implemented to resolve key business problems. Qualifications Minimum Qualifications Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline. Familiarity with common statistical machine learning model algorithms, understands deep learning principles and frameworks. Familiar with one of Python/Java/Go/C++ programming languages and common data structures and algorithms; demonstrable coding ability. Good problem analysis and solving ability, quick learner with independent research ability, strong collaboration and teamwork mindset. Preferred Qualifications Agile, quick self-learner, highly self-motivated with strong sense of product ownership and creative problem solver. Deeply passionate about software coding/development and building great mobile/web applications. Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment. 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 If you have any questions, please reach out to us at apac-earlycareers@tiktok.com About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. J-18808-Ljbffr

Location: Singapore, Singapore, SG

Posted Date: 9/5/2025
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TikTok

Posted

September 5, 2025
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