Senior Principal Researcher – Generative AI – Microsoft Research AI Frontiers

3 Months ago • 5-8 Years • Artificial Intelligence • $161,600 PA - $314,400 PA

Job Summary

Job Description

Microsoft Research AI Frontiers is seeking a Senior Principal Researcher in Generative AI to lead advancements in LLMs and Generative AI models. Responsibilities include developing cutting-edge technologies, improving existing models, and exploring new capabilities. Research areas encompass reasoning, action models for automation, learning and memory for agentic AI, multi-agent systems, and model evaluation. The role requires leading research efforts, collaborating with diverse teams, and publishing findings in top AI conferences. The successful candidate will have a strong publication record in relevant fields (NeurIPS, ICML, ICLR, etc.) and significant experience in AI research.
Must have:
  • Doctorate in Computer Science or related field
  • 5+ years research experience
  • Publications in top AI conferences (NeurIPS, ICML, etc.)
  • Lead research efforts and collaborate effectively
  • Define ambitious research agendas
Good to have:
  • 8+ years research experience
  • Experience publishing as lead author in AI
  • Experience with Small Language Models (SLMs)
  • Experience with agentic AI systems
  • Keen interest in real-world applications
Perks:
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

Microsoft Research (MSR) AI Frontiers lab is seeking applications for the position of Senior Principal Researcher Generative AI to join their team in Redmond, WA or New York City, NY. 

 

The mission of the 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 Principal Researcher – Generative AI to join our team and lead efforts on the advancement of Generative AI and Large Language Models (LLMs) technologies. As a Senior Principal 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.   

 

Our ongoing research areas encompass but are not limited to: 

  • Reasoning and inference-time compute strategies 
  • Action models for automating web and computer tasks 
  • Learning and memory for agentic AI systems to enable them to evolve and adapt over time  
  • Orchestration and multi-agent systems: automated orchestration between multiple agents incorporating human feedback and oversight 
  • Evaluation and Understanding of model and agent capabilities 

MSR offers a vibrant environment for cutting-edge, multidisciplinary, research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic institutions around the world.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Qualifications

Required/Minimum Qualifications 

  • Doctorate in Computer Science or relevant field AND 5+ years related research experience
    • OR equivalent experience.
  • Research program demonstrated by publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP.

Additional or Preferred Qualifications 

  • Doctorate in in Computer Science or relevant field AND 8+ years related research experience 
    • OR equivalent experience. 
  • 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.

Research Sciences IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

 



#Research

Responsibilities

  • As a Senior Principal Researcher in MSR, 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 and .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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