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Machine Learning Engineer Intern (Responsible Recommendation System-Feed Quality) - 2024 Summer (MS)

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TikTok

Mar 15

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
  • San Jose

Requirements

  • Currently pursuing a MS degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Able to commit to working for 12 weeks during Summer 2024.
  • Solid programming foundation, good programming style and work habits, solid knowledge of data structures and algorithms.
  • Has strong theoretical foundation and extensive practical experience in the field of machine learning/deep learning , familiar with at least one mainstream deep learning framework.
  • Has exceptional ability to analyze and solve problems, passionate about solving challenging problems; good at communication, proactive at work, has a strong sense of responsibility, and possess good teamwork skills.
  • Priority will be given to individuals who have published papers at top conferences, won competitions such as ACM/machine learning, or have experience in core algorithm businesses such as large-scale recommendation systems, computational advertising, and search engines.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Graduating December 2024 onwards with the intent to return to degree program after the completion of the internship.
  • Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
  • High levels of creativity and quick problem-solving capabilities.

Responsibilities

  • Participate in the recommendation algorithm and make contributions to a world-class large scale recommendation system.
  • Optimize the core algorithms and strategies (recall, coarse ranking, fine ranking, mixed ranking, diversity, etc.) through modeling technologies including deep learning, representation learning, multi-task learning, causal inference, and sequence modeling.
  • Work closely with the product and operations team, excel in technological innovation with deep integration of business characteristics, and help achieve long-term and short-term business development goals.

TikTok

Entertainment & Media
Industry
10,001+
Employees
2017
Founded Year

Mission & Purpose

TikTok is a social media platform where users create and share short videos on various topics, including entertainment, education, and lifestyle. Their ultimate goal is to inspire creativity and bring joy to people's lives through engaging and entertaining content. TikTok's purpose is to provide a platform for self-expression and connection, fostering a global community where individuals can express themselves authentically and connect with others who share similar interests and passions.