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  4. Graduate Machine Learning Engineer Trust and Safety 2021
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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 2021 - people who want to inspire creativity and co-create the future with TikTok.

Regardless of the function you choose to specialize in, our graduate roles will enable you to participate in meaningful and innovative projects. Your potential for growth at TikTok is limitless. Join us to enhance your skill set and develop your network in the tech industry.

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 behaviors that violate community guidelines and related local regulations. With the continuous efforts from our trust and safety team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

This role will support with:

  1. Building industry-leading trust and safety systems for TikTok;
  2. Developing highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
  3. Understanding product objectives and improve trust and safety strategy and model iterations;
  4. Working with cross-functional teams to protect TikTok globally.

Qualifications

  1. Bachelor or above degree in computer science or a related technical discipline;
  2. Some experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
  3. Good understanding of data structures and algorithms;
  4. Great communication and teamwork skills;
  5. Passionate about techniques and solving challenging problems.