TikTok USDS JV · Seattle, WA, United States
Skills: Python, Java, Go
SeattleRegularR&DFuture Talent 2027 - Bachelor/Master GraduatesJob ID: A97079A
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Responsibilities
About the team The USDS Search Team is responsible for building and owning TikTok's search engine, which provides our users the best search experience. You'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: - Optimize the searching quality to provide TikTok's users the best search experience - Combine your understanding of product objectives and take full advantage of modern machine learning and information retrieval techniques to improve search quality and perception - Build the core systems and algorithms development including query understanding, result ranking, query recommendation, system reliability, and etc.
Qualifications
Minimum Qualification(s): - Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Engineering, Math, Statistics, or a related discipline. - Experience in developing and implementing large-scale consumer-facing services/products and/or building backend services for large-scale consumer-facing applications - Proficiency i…
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