Research Scientist – Developmental AI – FAIR Responsibilities:
- Publish state-of-the-art research papers in both high impact machine learning and cognitive science outlets.
- Conduct independent research that investigates how AI can improve the science of learning in biological organisms and vice versa.
- Open source high quality code and reproducible results for the community.
Minimum Qualifications:
- Ph.D. and established track record of leading and/or contributing to influential research, e.g. as evidenced by high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP)
- Documented interest in cross-disciplinary research in topics relevant to developmental AI.
- Experience communicating research for public audiences of peers, as well as non-technical audiences
Preferred Qualifications:
- 2+ years of work experience in a faculty, industry, or government research position with primary emphasis on AI research
- Publications in top cognitive (neuro)science journals or conferences (Cognition, Cognitive Science, etc) a plus.
- Experience driving original scholarship in collaboration with a team
- Experience in developing and debugging in C/C++, Python, PyTorch
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