PhD Research Scientist Intern: Responsible AI

• 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 Qualifications

• Currently 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 Qualifications

• Intent 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.