About Recommendation Team With one of the fastest growing apps in the world with rich, diverse content and users, our Recommendation team is always striving to help our users discover new videos that they enjoy as well as to empower content creators through recommendation algorithms. We work cross-functionally with product teams to build exciting new features and tackle challenges that have never been solved before. In the meantime, however, we can also propose and realize our own idea in a self-driven manner. In our team, the opportunity to innovate and drive impact through algorithms is limitless. Furthermore, we care for team members' personal growth. As a new grad, you will be guided to think and work systematically. You will be intensively immersed in algorithms and business on the basis of the cutting-edge of technology in AI Infrastructure and state-of-the-art recommendation systems at our team. We are looking for talented individuals to join us - people who want to inspire creativity and co-create the future with us. Successful candidates must be able to commit to the following internship cycle below: - 1. Off-cycle Internship - 02 Aug to 17 Dec (20 weeks) Please state your availability clearly in the comments section (Start date, End date). Responsibilities 1. Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning; 2. Understand product objectives and machine learning techniques; improve model and recommendation strategy; 3. Understand user behavior and apply ML algorithms to optimize content consumption and production experience; 4. Understand content security strategy and apply ML algorithms to improve content audit process; 5. Work with cross functional teams to grow ByteDance product in important regional markets.
1. Undergraduate or Postgraduate with a background in Computer Science, Computer Engineering, Information Systems or a related technical discipline from a university; 2. Solid experience with data structures or algorithms; 3. Software development experience through hands on coding in a general purpose programming language; 4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas; 5. Strong communication and teamwork skills; 6. Passion about technologies and solving challenging problems. Application deadline: 15 April 2021 1. Applications will be reviewed on a rolling basis and we encourage you to apply early; 2. Interview starts from February 2021.
About Recommendation Team With one of the fastest growing apps in the world with rich, diverse content and users, our Recommendation team is always striving to help our users discover new videos that they enjoy as well as to empower