Researcher - Agentic AI

As a Senior Researcher - Agentic AI, you will play a crucial role in modeling agentic intelligence: developing agents that learn to self-correct, specialize and collectively improve through self-play as well as interaction. The role spans research on recursive self-improvement using self-generated data, adaptive coordination and delegation across multiple models, continual learning without catastrophic forgetting, human-AI collaboration for long-horizon tasks, and autonomous skill acquisition driven by interaction-identified gaps.

This role encompasses the full research-to-deployment spectrum, requiring an active focus on building robust evaluation frameworks and high-fidelity synthetic data pipelines. You will also be instrumental in refining the underlying architectures to ensure agentic systems scale effectively in complex environments.

Environment & Focus

Researchers in the AI Frontiers lab work in a vibrant, multidisciplinary environment with access to large-scale pipelines and evaluation environments, the ability to ground research in real-world product scenarios, and an open publication policy designed to share breakthroughs in agentic autonomy with the global research community.

Our current research focuses on the intersection of self-improving systems and multi-agent reasoning, specifically exploring how recursive improvement, adaptive coordination, and autonomous skill acquisition can enable agents to continuously evolve through interaction without losing prior capabilities.

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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 world-class research organization, you will be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas on products and services used worldwide.

• Doctorate in relevant field

• OR Master's Degree in relevant field AND 3+ years related research experience
• OR Bachelor's Degree in relevant field AND 4+ years related research experience
• OR equivalent experience., * Research record demonstrated by public artifacts like models, tools, code in AI space or publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, COLM

• Expertise in the technical scaling of models and a commitment to engineering excellence, including the development of generalized code and robust research infrastructure.
• Experience publishing academic papers as a lead author or essential contributor in the field of Artificial Intelligence, deep learning, natural language processing and/or reinforcement learning.
• Experience participating in a top conference in relevant research domain (i.e. organizing a workshop, hackathon, community engagement/relations).
• 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.

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

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