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TikTokVerified from TikTok's careers page · TikTok

(General Hire) Machine Learning Engineer Graduate (Performance Monetization) - 2027 Start

  • San Jose, California, USA
  • On-site
  • First seen Nov 15, 2026

Visa sponsorship: the posting does not say.

TikTok had H-1B petitions approved for 454 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. See the record

At a glance

(General Hire) Machine Learning Engineer Graduate (Performance Monetization) - 2027 Start at TikTok, an on-site role based in San Jose, California, USA. First seen on RealAnalystJobs on 15 November 2026, read from TikTok's own careers page (TikTok), which RealAnalystJobs re-checks daily and removes the role when it closes. TikTok has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

Similar roles on RealAnalystJobs, as of 15 November 2026

About this role

Global Monetization Product and Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity. 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. What is the General Hire? If you're applying under the General HIre track for the GMPT-Performance Monetization organization, your resume will be reviewed by all the subteams, and we'll help identify one or more teams that are the best match for you. Why General Hire? This process gives you broader exposure and increases your chances of finding the right team fit! 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. Qualifications Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's or above degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline (completed, or expecting to graduate within 12 months). - 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: - Ads system, recommendation, searching, ranking, etc.

Description from TikTok's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.

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