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  4. Machine Learning Engineer PhD Internship 2022
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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, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

We are now looking for talented individuals to join us in 2022 - people who want to inspire creativity and co-create the future with TikTok. PhD Internships at TikTok aim to provide you with the chance to work on complex and interesting projects, addressing key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.

While fulfilling our mission, TikTok identifies trust and safety as a top priority and our team is dedicated to enhancing it. Our Trust and Safety engineering team is responsible for developing state-of-the-art machine learning models and algorithms to protect our platform and users from the content and behaviours that violate community guidelines and related local regulations. With the continuous efforts of our trust and safety team, TikTok can provide the best user experience and bring joy to everyone in the world.

Responsibilities

  • Building industry-leading trust and safety systems for TikTok
  • Developing highly scalable ML learning algorithms for computer vision, natural language processing, data mining and user modelling
  • Carry out research works for trust and safety and contribute to the academic community
  • Understanding product objectives and improving trust and safety strategy and policies accordingly
  • Working with cross-functional teams to protect TikTok globally.

Qualifications

  • You must be a current PhD student with a degree in computer science or a related technical discipline
  • Considerable experience in at least one of the following areas: machine learning, NLP, computer vision or data mining 
  • High-level analytical and coding skills
  • Familar with deep learning computing frameworks (e.g. Pytorch, Tensorflow etc. )
  • Great communication and teamwork abilities
  • Passionate about techniques and solving challenging problems
  • Canidates with published papers in top conferences are preferred (e.g. ICML, NeurIPS, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV etc.)