The Principal Researcher – Agentic AI role at AI Frontiers lab focuses on developing self-improving AI systems that learn through experience and interaction. The team is engaged in cutting-edge research on agentic intelligence, including recursive self-improvement and human-AI collaboration. Researchers work in a multidisciplinary environment, leveraging large-scale pipelines and real-world product scenarios. The position emphasizes the full research-to-deployment spectrum, aiming to refine architectures for effective scaling in complex environments.

• Doctorate in Computer Science or relevant field AND 3+ years related research experience OR Master's Degree in Computer Science or relevant field AND 4+ years related research experience OR Bachelor's Degree in Computer Science or relevant field AND 6+ years related research experience OR equivalent experience.
• Experience with building and evaluating agentic models.
• Research record demonstrated by public artifacts like models, tools, code in AI space or publications at major conferences.
• Expertise in the technical scaling of models and a commitment to engineering excellence.
• Experience publishing academic papers as a lead author or essential contributor in the field of Artificial Intelligence.
• Demonstrable ability to define an ambitious, original research agenda.
• Ability to collaborate, communicate effectively, and technically lead a multi-disciplinary team.
• Keen interest in real-world applications and impact.

• Perform cutting-edge research in collaboration with other researchers, engineers, and product groups.
• Contribute to research breakthroughs in the field and realize ideas in products and services.
• Build robust evaluation frameworks and high-fidelity synthetic data pipelines.
• Refine underlying architectures to ensure agentic systems scale effectively in complex environments.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.