Senior Researcher, Agentic AI

Microsoft

Quick summary

Work type
On-site
Location
Salary
$119,800–$234,700 / yr
Posted
53 days ago
Closes
Nov 1, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $177k
$103k most similar roles pay here $275k

This role pays less than 75% of similar roles. Most pay $177,250–$246,150 — the shaded band above. At the midpoint, this role pays about $177k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Senior Researcher, Agentic AI

As a Senior Researcher – Agentic AI in the AI Frontiers lab, you will contribute to cutting-edge research on developing self-improving AI systems capable of learning through experience and interaction. Your daily tasks include advancing foundational breakthroughs in machine learning, human-computer interaction, and AI, focusing on recursive self-improvement, adaptive coordination across models, and continual learning without catastrophic forgetting. You will work on building robust evaluation frameworks and synthetic data pipelines to ensure agentic systems scale effectively in complex environments. The role requires expertise in Python, TensorFlow, PyTorch, and proficiency in natural language processing, reinforcement learning, and multi-agent collaboration. Ideal candidates have a strong research background with publications at top AI conferences like NeurIPS or ICML, demonstrating the ability to define an ambitious research agenda and lead interdisciplinary teams.

What you'll do

  • Develop agents capable of self-correction, specialization, and collective improvement through interaction.
  • Conduct research on recursive self-improvement using self-generated data in agentic systems.
  • Design adaptive coordination mechanisms for multiple models working together in complex environments.
  • Create high-fidelity synthetic data pipelines to support robust evaluation frameworks for AI models.
  • Investigate continual learning techniques to prevent catastrophic forgetting in evolving AI systems.
  • Lead the development of autonomous skill acquisition methods driven by interaction-identified gaps.

What we're looking for

  • Doctorate in a relevant field or equivalent experience.
  • Research record with publications at top AI conferences like NeurIPS, ICML, ICLR.
  • Expertise in technical scaling of models and development of robust research infrastructure.
  • Experience publishing academic papers as lead author or essential contributor.
  • Ability to define an ambitious original research agenda in agentic AI systems.
  • Demonstrated collaboration and communication skills with multi-disciplinary teams.

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