About the job
The mission of the AI Frontiers lab is to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on Small Language Models (e.g. Phi, Orca) and agentic AI systems (e.g. AutoGen, MagenticOne, OmniParser). We are seeking a Senior Researcher - Generative AI to join our team in Redmond, WA or New York City, NY and lead efforts in the advancement of Generative AI and Large Language Models (LLMs) technologies. As a Senior Researcher - Generative AI, you will play a crucial role in leading, developing, improving, and exploring the capabilities of Generative AI models. Your work will have a significant impact on the development of cutting-edge technologies, advancing state-of-the-art and providing practical solutions to real-world problems.
Responsibilities
As a Senior Researcher in the AI Frontiers lab, you will perform cutting-edge research in collaboration with other researchers, engineers, and product groups. As a member of a word-class research organization, you will be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide. Embody our culture and values.
Qualifications
Minimum
Doctorate (or currently pursuing) in Computer Science or relevant field OR equivalent experience. Research program demonstrated by public artifacts like models, tools, code in AI space or publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP.
Preferred
Experience with building and evaluating frontier models. Experience publishing academic papers as a lead author or essential. contributor in the field of Artificial Intelligence. Experience participating in a top conference in relevant research domain. Demonstrable ability to define an ambitious, original research agenda. Ability to collaborate, communicate effectively, and technically lead multi-disciplinary team. Keen interest in real-world applications and impact.