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Algorithm Intern (TikTok Social Recommendation) - 2024 Start
Algorithm Intern (TikTok Social Recommendation) - 2024 Start-September 2024
Sep 21, 2024
ABOUT TIKTOK
As the leading destination for short-form mobile video, TikTok’s mission is to inspire creativity and bring joy.
5,001 - 10,000 employees
Social Media, Technology
VIEW COMPANY PROFILE >>
About Algorithm Intern (TikTok Social Recommendation) - 2024 Start

  Responsibilities

  TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

  Why Join Us

  Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

  Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

  To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

  At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

  Join us.

  About the Team

  Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is dynamic, fast-pacing, collaborative and impact-driven.

  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. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

  Successful candidates must be able to commit to the following internship cycle

  below: -

  1. Summer Internship - 06 May 2024 to 26 July 2024 (12 weeks)

  2. Off cycle / Credit bearing - Starting 08 January 2024

  We will prioritize candidates who are able to commit in either internship period. Please state your availability clearly in your resume (Start date, End date).

  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 early.

  Responsibilities

  - Build industry-leading recommendation system, improving social relation building experience;

  - Deeply combine machine learning technology with social scenario businesses, optimize models & strategies, and continuously improve recommendation effects;

  - Work with cross functional teams to design product strategies and build solutions to address critical product challenges.

  Qualifications

  1. Undergraduate, or Postgraduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline;

  2. Solid experience with data structures and algorithms; Strong software development experience with C++, Python or other programming language;

  3. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;

  4. Strong communication and teamwork skills;

  5. Passion about technologies and solving challenging problems.

  TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

  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.

  If you have any questions, please reach out to us at [email protected].

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