Tiktok Machine Learning Fairness PhD Internship

Deadline: Ongoing

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices, including London, Los Angeles, New York, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo. At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire – for you, for us, and more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok. We are looking for talented individuals to join us for a PhD internship for a minimum of three months, with the potential to extend the duration. Our starting dates are flexible. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become a reality as your inspiration brings infinite opportunities at TikTok. Our Machine Learning Fairness team in London is working on challenging problems in the field of Responsible AI, specifically focusing on Fairness, Transparency and Explainability. Working at TikTok gives you the unique opportunity to do cutting-edge research and also offers you opportunities to deploy your model into production and affect millions of users.

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Responsibilities

– Participate in cutting-edge research on machine learning, deep learning, natural language processing, computer vision, recommendation systems, search ranking and other fields

– Collaborate closely with our research team and work in the ever-growing field of machine learning fairness and responsible AI. This includes but is not limited to AI interpretability & explainability, causal inference and robustness

– Participate in model building, performance optimization, and project deployment

Eligibility Criteria

– Currently pursuing a relevant PhD with a bachelor’s/master’s degree in computer science/mathematics/computational statistics or related subjects

– Available to work full-time for a minimum of three months

– Start dates are flexible and will be discussed during the recruitment process

– Passion for modern machine learning and cutting-edge technology

– Good programming ability, proficiency in at least one programming language, such as Python, C/C++, etc. (Python preferred)

– Familiar with commonly used machine learning algorithms and experience using at least one deep learning framework. (such as Pytorch, TensorFlow, JAX etc.)

– Good communication skills, teamwork spirit, analytical skills and learning ability

– (Preferred) Publications in top machine learning journals or conferences (such as ICML, NeurIPS, JMLR, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AISTATS, KDD, SIGIR, WWW etc.) are a plus

Application Registration Deadline: Ongoing

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