Research Scientist - Developmental AI - FAIR

Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Developmental AI (DevAI). Current machine learning algorithms can match human performance in a variety of tasks but require orders of magnitude more data. DevAI aims at building AI agents that learn autonomously from few amounts of real world data and interactions as children do. This covers the design of algorithms that leverage advanced machine learning techniques to improve robustness and sample efficiency, the building of datasets or simulators of ecological data, and benchmarks to compare how fast children and machines learn given similar input. The focus is on grounded language and communication. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community fostering the advancement of AI at its intersection with the study of natural intelligence. We seek researchers with a mixed expertise in
machine learning (speech, language, vision, core ML) and cognitive science (developmental or language science) to join our research team to foster cutting-edge research in Developmental AI.

4. 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)
5. Documented interest in cross-disciplinary research in topics relevant to developmental AI.
6. Experience communicating research for public audiences of peers, as well as non-technical audiences, 7. 2+ years of work experience in a faculty, industry, or government research position with primary emphasis on AI research
8. Publications in top cognitive (neuro)science journals or conferences (Cognition, Cognitive Science, etc) a plus.
9. Experience driving original scholarship in collaboration with a team
10. Experience in developing and debugging in C/C++, Python, PyTorch

1. Publish state-of-the-art research papers in both high impact machine learning and cognitive science outlets.
2. Conduct independent research that investigates how AI can improve the science of learning in biological organisms and vice versa.
3. Open source high quality code and reproducible results for the community.