PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML/Data Science or equivalent work experience
7+ years of relevant work experience post PhD
Past experience leading a research or applied research team
Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, AAAI)
10+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects
Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations
Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks
Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI
Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders
Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company