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Machine Learning Research Intern – Recommendation Algorithms

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok
Apprenticeship/Internship position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 60 USD Hourly USD 60.00 HOUR
Job Description & How to Apply Below

Research Scientist Intern (Tik Tok-Recommendation-Content Intelligence) – 2026 Start (PhD) | Tik Tok

The Tone:

This is an internship position with Tik Tok, a global company known for its leading short-form mobile video platform, headquartered in Los Angeles and Singapore with offices worldwide. This role is crucial to the company’s core recommendation algorithm team, which drives product decisions and platform growth by innovating on production models and creating product impact. As an intern, you will contribute to cutting-edge research and development that shapes the user experience and inspires creativity.

TL;

DR
  • Role:
    Internship
  • Type:
    Temporary
  • Location:

    Not specified, potential for in-person or hybrid
  • Pay: $60 hourly
  • Team:
    Recommendation algorithm team, composed of machine learning researchers and engineers, plays a central role in the company.
  • Mission:
    To conduct advanced research and development in recommendation algorithms, transforming cutting‑edge ideas into production models for business scenarios.
  • Tech Stack:
    PyTorch, Tensorflow, MXNet
What You’ll Actually Do
  • Research:
    Conduct development and research on advanced computer vision, natural language processing, multi-modality, large language models, and generative modeling.
  • Innovation:
    Follow state-of-the-art progress in relevant fields and translate these new ideas into practical production applications.
  • Model Development:
    Engage in the full life-cycle model development, from initial model training and deployment to ongoing maintenance.
  • Business Integration:
    Ensure models are effectively utilized in various business scenarios upon deployment.
The Must-Haves
  • Background:
    Currently pursuing a PhD Degree, with experience in one or more areas of computer vision, natural language processing, or machine learning.
  • Experience:

    Solid knowledge and practical experience with at least one major deep learning framework.
  • Skills:

    Strong analytical and problem‑solving abilities, coupled with the capacity to collaborate effectively within cross‑functional teams.
  • Bonus: A degree in computer science, electrical engineering, or related fields, and authorship of publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, or ICLR.
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