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

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1mo ago

πŸš€ Summer Internship

San Jose

AI generated summary

  • MS student in Software/Computer Science/Engineering with strong ML/DL background. Solid programming skills, problem-solving abilities, teamwork skills, and work ethic. Preferably with published papers, competition wins, or experience in recommendation systems. Ability to work for 12 weeks in Summer 2024.
  • The candidate will work on optimizing recommendation algorithms, leveraging deep learning and sequence modeling to enhance feed quality, collaborating with product and operations teams to align technology with business goals at TikTok.

Summer Internship

Dataβ€’San Jose


  • We are looking for talented individuals to join us for an internship in 2024. 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. This Internship Program runs for 12 weeks beginning in May/June 2024


  • 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.

Education requirements

Currently Studying

Area of 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.


Work type

Full time

Work mode



San Jose