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Engineer Graduate: (Machine Learning Engineer Graduate -Search E-Commerce) - 2026 Start (BS/MS)
Engineer Graduate: (Machine Learning Engineer Graduate -Search E-Commerce) - 2026 Start (BS/MS)TikTok • San Jose, CA, United States
Engineer Graduate : (Machine Learning Engineer Graduate -Search E-Commerce) - 2026 Start (BS / MS)

Engineer Graduate : (Machine Learning Engineer Graduate -Search E-Commerce) - 2026 Start (BS / MS)

TikTok • San Jose, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Join to apply for the Engineer Graduate : (Machine Learning Engineer Graduate - Search E-Commerce) - 2026 Start (BS / MS) role at TikTok .

We are seeking talented individuals to join our team in 2026. As a graduate, you will have opportunities to pursue innovative ideas, tackle complex challenges, and experience significant growth. Launch your career where inspiration is limitless at TikTok.

Successful candidates must be able to commit to an onboarding date by the end of 2026. Please clearly state your availability and graduation date in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order of application. Applications are reviewed on a rolling basis—early applications are encouraged.

The Search E-Commerce team leads the development of TikTok's advanced search algorithm, vital for its expanding global e-commerce platform. Using state-of-the-art large-scale machine learning, NLP, CV, and multi-modal technologies, we aim to create a top-tier search engine that delivers the best e-commerce search experience to over a billion monthly active users worldwide. Our mission is to make every reasonably priced product easy to sell.

Responsibilities :

  • Improve search quality and user experience by optimizing query analysis and relevance matching.
  • Understand e-commerce video content and implement multi-modal matching to enhance perceived product authority.
  • Enhance the end-to-end shopping experience, from browsing to after-sales.
  • Design and implement ranking systems to personalize shopping interests.
  • Increase shopping conversion rates for merchandise, videos, and live streams to grow GMV.
  • Address industry and business challenges such as supply-demand matching, business cold start, and sustainable growth.
  • Analyze and evolve systems for long-term, sustainable GMV growth.

Qualifications :

  • Final year or recent graduate in Software Development, Computer Science, or related fields.
  • Knowledge in recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal learning.
  • Proficiency in Python and / or C / C++, familiar with machine learning frameworks, strong understanding of data structures and algorithms.
  • Excellent analytical, modeling, and problem-solving skills, with the ability to distill complex data into insights.
  • Publication records or ACM-ICPC medals are a plus.
  • By applying, you agree to TikTok's privacy policy .

    Job Details :

    Salary range : $145,000 - $250,000 annually, depending on location, experience, and qualifications.

    Benefits include medical, dental, vision insurance, 401(k), paid parental leave, disability coverage, life insurance, paid holidays, sick days, and personal time. Benefits may vary by country and are subject to change.

    Additional Information :

    This role is a full-time internship position in Engineering and IT, within the Entertainment Providers industry. The seniority level is Internship.

    Note : The job posting is active; no indication of expiration was found.

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