Post Doc Researcher – AI (Agentic Systems & Interaction)

47 Minutes ago • Upto 2 Years • Artificial Intelligence

About the job

Job Description

Microsoft Research is seeking a Postdoctoral Researcher to contribute to cutting-edge research in agentic AI systems and interaction. The role involves hands-on work on projects related to multi-agent systems, foundation models, human-AI interaction, and responsible AI. Responsibilities include designing, developing, and evaluating new technologies, collaborating with researchers and engineers, and publishing research findings in top venues. Ideal candidates will possess a PhD (or be pursuing one) in Computer Science or a related field, a strong publication record, and experience with large foundation models and AI/ML frameworks. The position offers a chance to work on impactful projects within a supportive and stimulating environment.
Must have:
  • PhD in Computer Science or related field
  • Publications in top venues (NeurIPS, ICML, etc.)
  • Experience with large foundation models
  • Strong software engineering skills
  • Experience in AI/ML frameworks (PyTorch, TensorFlow)
  • Excellent communication and collaboration skills
Good to have:
  • 2+ years of relevant research experience
  • Experience evaluating AI models/systems
  • Experience with Langchain, AutoGen
  • GitHub profile/code samples
Perks:
  • Industry-leading healthcare
  • Educational resources
  • Product and service discounts
  • Savings and investment plans
  • Maternity/paternity leave
  • Generous time off
  • Giving programs
  • Networking opportunities

Overview

Microsoft Research (MSR)AI Frontiers is inviting applications for a Post Doc Researcher to join our team. We are focused on solving real-world problems and pushing the boundaries of agentic AI systems and interaction research.  

   

The mission of the  lab is to expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on multi-agent systems (e.g.AutoGen), small language models (e.g. Phi, Orca), foundation models for actions (e.g., in gaming, robotics, and Office productivity tools), and evaluation (e.g., Eureka). 

 

We are seeking exceptional candidates to advance the state-of-the-art in agentic systems and interaction research. Focus areas include, but are not limited to, the following: 

  • Multi-agent systems and applications 
  • Foundation model-based agents 
  • Reliable and general-purpose agentic capabilities 
  • Human-AI/agent interaction and experiences 
  • Agentic evaluation and tooling 
  • Responsible AI 

 

As a Post Doc Researcher on our team, you will work hands-on on challenging and impactful projects. You will apply your strong technical skills and expertise to build practical solutions to real world problems. Additionally, you will collaborate closely with other researchers and engineers across the company to amplify your impact and grow your career in a supportive and stimulating environment.

Qualifications

Required Qualifications: 

  • Doctorate (or currently pursuing) in Computer Science or related fields 
  • OR equivalent experience 
  • Publication record as a lead author or essential contributor at top venues such as: CHI, NeurIPS, UIST, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, ICAPS. 

 

Preferred Qualifications: 

  • Doctorate in Computer Science or relevant field AND 2 years related research experience  
  • OR equivalent experience.   
  • Hands-on experience working with large foundation models (e.g., OpenAI GPT models, LLAMA etc) and state-of-the-art AI/ML frameworks and toolkits (e.g., Pytorch, Tensorflow, Langchain, AutoGen). 
  • Demonstrated software engineering experience building and deploying prototypes, applications, or open-source technologies. Providing a link to GitHub profile (if available) and/or code samples, is highly encouraged.  
  • Hands-on experience evaluating AI models or systems (e.g., running benchmark experiments or user studies, analyzing data). 
  • Experience working in multi-disciplinary teams along with a team player mindset, characterized by effective communication, collaboration, and feedback skills. 
  • Reference letters a re welcomed, though they are not mandatory. Please include them if available.

 

Research Sciences IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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

  • Perform cutting edge research to solve real-world problems, including designing, developing, evaluating and sharing new foundation model-based technologies. 
  • Collaborate hands-on with other researchers, engineers, and product group partners on high-impact projects that deliver real-world impact to people and society. 
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
View Full Job Description
$98.3K - $208.8K/yr (Outscal est.)
$153.6K/yr avg.
Redmond, Washington, United States

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