Research Scientist Intern, Responsible AI (PhD)

Publish state-of-the-art research papers in responsible AI with particular focus on social impact of AI technologies.Conducting independent research that investigates how sociotechnical systems impact various social groups in different ways.Open sourcing high quality code and reproducible results for the community.Minimum QualificationsCurrently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information, Reinforcement Learning, Mathematics, or relevant technical field.Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.Experience with Python, C++, C, Java or other related languages.Experience with deep learning frameworks such as Pytorch or Tensorflow.Deep interest in cross-disciplinary communication towards conducting research in socio-technical systems and responsible AI.Preferred QualificationsIntent to return to degree program after the completion of the internship/co-op.Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as publications in FAccT, AIES, *ACL.Contributions to affinity workshops at machine learning conferences (e.g. NeurIPS, ICML) welcome.Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches.Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).Experience working and communicating cross functionally in a team environment.

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