OverviewMachine Learning Engineer Graduate - Global E-commerce Recommendation/Search - 2026 Start (BS/MS). Pay information available in the job post. Base pay range: $112,725.00/yr - $177,840.00/yr.ResponsibilitiesWork in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms.Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.Build long and short term user interest models, analyze and extract relevant information from large amounts of data and design algorithms to explore users' latent interests efficiently.Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety.QualificationsFinal year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.Excellent analytical and problem-solving skills.Strong foundation in machine learning and deep learning, with experience in NLP (Natural Language Processing) and personalization.Exceptional coding skills with solid knowledge of data structures and algorithms.Proficiency in Linux development environments.Preferred QualificationsPrior experience in search, recommendation, or advertisement algorithms.Familiarity with e-commerce businesses.Additional InformationBy submitting an application for this role, you accept and agree to our global applicant privacy policy. For pay transparency, compensation description is provided in the job posting. Benefits may vary by location and employment type. TikTok Accommodation: reasonable accommodations available in recruitment processes upon request.Job Location Details: Seattle, WA area postings and related salary ranges appear in the description; the role is part of TikTok's Data-E-commerce team focused on recommendation, search, safety, and supporting efficient transactions.
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