Machine Learning Engineer Intern (TikTok Recommendation-Live) - 2026 Summer (BS/MS)

TikTok

4.5

(6)

San Jose, CA

Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Employee well-being is supported via hybrid work, short-term counseling through our EAP and a premium subscription to Headspace.
  • We embrace diversity across all dimensions and provide employees with 9 employee resource groups globally, including our WOMEN ERG.
  • Comprehensive parental leave policy as well as fertility treatment through healthcare providers with a $20,000 lifetime maximum.
  • #7549455772666988818

    Position summary

    will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

    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 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

    Responsibilities

    • Build industry-leading live recommendation systems, improving user experience, content ecosystem, and platform security in live streaming;
    • Deliver end-to-end machine learning solutions to address critical product challenges in real-time recommendation and personalization for live content;
    • Own the full-stack machine learning system and optimize algorithms and infrastructure to improve live recommendation performance;
    • Work with cross-functional teams to design product strategies and build solutions to grow TikTok's live streaming ecosystem in important markets.

    Qualifications

    Minimum Qualifications:

    • Currently pursuing a Master degree with a background in computer science, machine learning, or similar fields;
    • Good knowledge of theoretical and empirical research in addressing research problems;
    • Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch,TensorFlow) and familiarity with deep neural network architectures.
    • Able to commit to working for 12 weeks during Summer 2026

    Preferred Qualifications:

    • Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
    • Strong first-author publications record in top AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.);
    • Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design;
    • Internship experience in an AI research organization.

    For TikTok
    By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

    Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Employee well-being is supported via hybrid work, short-term counseling through our EAP and a premium subscription to Headspace.
  • We embrace diversity across all dimensions and provide employees with 9 employee resource groups globally, including our WOMEN ERG.
  • Comprehensive parental leave policy as well as fertility treatment through healthcare providers with a $20,000 lifetime maximum.