Machine Learning Fairness Research PhD Intern

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. Internships at TikTok aim to provide students the chance to work with our clients and teams to address 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. Our new MLF (Machine Learning Fairness) team based in the TikTok London office is dedicated to building a technology centre to provide technical support for all products from the perspectives of Responsible AI. We are looking for PhD student interns who have solid technical skills while being passionate about pursuing excellence in machine learning fairness and related areas. Please note that this role is to start immediately, not in 2022. Responsibilities: - Conduct research and development of technologies on machine learning fairness and more generally AI ethics (including but not limited to machine learning explainability, robustness, and privacy); - Carry out design and analysis of ethical machine learning algorithms, and apply them to the recommendation, search, CV, NLP and other products; - Work closely with other researchers in the global MLF team; - Publish research results in prestigious conferences and journals, or file patents. Qualifications - Currently in the process of obtaining a PhD degree in the relevant field (including but not limited to machine learning, data mining, information retrieval, natural language processing, computer vision, and statistics) - In-depth understanding of machine learning; - Solid mathematical background and coding ability; - Publications at top theoretical/applied machine learning conferences (e.g. ICML, NeurIPS, ICLR, SIGIR, WWW, WSDM, KDD, and FAccT) would be a big plus.