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Machine Learning Engineer Graduate (App Ads and Gaming) - 2027 Start

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美国 · San Jose · 经验要求见详情
R&DRegularA87149A美国Bachelor/Master Graduate - 2027 Start国际招聘TikTok

关于这个机会

The App Ads and Gaming team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering application ads on TikTok. Our mission is to push the boundaries of large-scale ad delivery systems and lead the innovations of TikTok's personalized online advertising. 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: - Participate in the development of a large-scale Ads system. - Responsible for the development of state-of-the-art applied machine learning projects. - Own key targeting components or strategies in the TikTok ads monetization ecosystem. - Work with product and business teams on product vision.

任职要求

Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's or above degree in Computer Science, Computer Engineering, or a related technical discipline. - Experience in and good theoretical grounding in machine learning concepts and techniques. - Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. - Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc - Ability to think critically and to formulate solutions to problems in a clear and concise way. Preferred Qualifications: - Familiar with Ads system, recommendation, searching, ranking, etc.

官方来源与核验

字节跳动官方招聘 · 职位编号 7669709290431236357

最近核验:2026-09-16T12:31:41.068845+00:00

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