Applications are currently being accepted for the TikTok Machine Learning Fairness PhD Internship in 2023. They are searching for bright people to join them for a PhD internship that will last at least three months and maybe longer.
Flexible beginning dates are offered. TikTok internships are designed to expose students to the industry and provide them practical experience. As your imagination creates limitless potential at TikTok, see your dreams come true.
Working on difficult issues in the field of Responsible AI, the Machine Learning Fairness team in London primarily focuses on Fairness, Transparency, and Explainability. Working at TikTok offers you the one-of-a-kind chance to conduct cutting-edge research and the chance to deploy your model into production and have an impact on millions of users.
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 TikTok’s 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:
- Open to individuals 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;
- 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.
