About the role
Lead and conduct cutting-edge research in agentic AI, translating insights into practical solutions that ship to millions of users — in close collaboration with researchers, engineers, and product teams. Curate high-quality datasets and develop novel training algorithms tailored to agentic and reasoning tasks. Design rigorous evaluation frameworks to benchmark model capabilities across reasoning, long-horizon tasks, and multi-agent scenarios. Prototype and iterate on new agentic capabilities — from computer use and action models to memory and multi-agent orchestration. Drive research from idea to publication, with opportunities to publish at top-tier venues and contribute to the broader scientific community. Doctorate in Computer Science or relevant field OR Master's Degree in Computer Science or relevant field AND 3+ years related research experience OR Bachelor's Degree in Computer Science or relevant field AND 4+ years related research experience Doctorate of Computer Science or relevant field AND 2+ years related research experience 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. 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.
