Machine Learning Engineer Intern (Monetization GenAI) - 2026 Start (BS/MS) job opportunity at Tiktok.

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SAN JOSE, CA, United States Of America

SAN JOSE, CA....United States Of America

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Responsibilities We are Generative #AI team under #Monetization #Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging #Generative AI technologies, to increase overall revenue for advertisers, agencies and creators. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in 2026 . Candidates can apply to a maximum of two positions and will be considered for jobs in the order your apply. The application limits is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: May 11th, 2026 May 18th, 2026 May 26th, 2026 June 8th, 2026 June 22nd, 2026 Fall Start Dates: Auguest 10th, 2026 Auguest 24th, 2026 Sepetember 8th, 2026 September 21th, 2026 Responsibilities 1. Work on research in advancing technology in large language model or #multimodality generative model architectures; 2. Research, implement and evaluate novel machine learning algorithms on generative models; 3. #Collaborate with applied machine learning teams and infrastructure teams to ship new generative models into #ad production.