Tiktok - San Jose, CA

posted 3 months ago

Full-time - Intern
San Jose, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. We are looking for talented individuals to join us for an internship in 2024, specifically for the role of Machine Learning Engineer Intern focused on video recommendation systems. This internship aims to provide students with hands-on experience in developing fundamental skills and exploring potential career paths within the tech industry. The internship program runs for 12 weeks, beginning in May/June 2024, and successful candidates must be able to commit to one of the specified summer internship cycles. As a Machine Learning Engineer Intern, you will participate in the recommendation algorithm and contribute to a world-class large-scale recommendation system. You will have the opportunity to optimize core algorithms and strategies through modeling technologies, including deep learning, representation learning, multi-task learning, causal inference, and sequence modeling. This role requires close collaboration with the product and operations teams to excel in technological innovation, integrating business characteristics to help achieve both long-term and short-term business development goals. Internships at TikTok are designed to offer students industry exposure and hands-on experience, allowing you to utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. A vibrant blend of social events and enriching development workshops will be available for you to explore during your time with us. We encourage candidates to apply early, as applications will be reviewed on a rolling basis. We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. At TikTok, we celebrate our diverse voices and strive to create an environment that reflects the many communities we reach. We are passionate about this mission and hope you are too.

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.

Requirements

  • Currently pursuing a Bachelor/Master 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.
  • Strong theoretical foundation and extensive practical experience in the field of machine learning/deep learning, familiar with at least one mainstream deep learning framework.
  • 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.

Nice-to-haves

  • 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.

Benefits

  • Hourly rate of $45.
  • 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire.
  • Paid holidays and paid sick leave, with sick leave entitlement based on the time you join.
  • Mental and emotional health benefits through the Employee Assistance Program.
  • Reimbursements for mobile phone expenses.
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