Senior Researcher - Embodied AI/Robotics - Microsoft Research

1 Month ago • 4-8 Years • Artificial Intelligence • $117,200 PA - $229,200 PA

Job Summary

Job Description

Microsoft Research seeks exceptional researchers to advance embodied AI and robotics. The role focuses on groundbreaking research at the intersection of decision-making (imitation learning, RL, planning) and large multimodal models for robust robot actions in weakly structured environments. Responsibilities include multimodal model training and inference, data-efficient learning for decision-making, building proofs of concept on physical robots, contributing to team projects and collaborations, and publishing research findings. A PhD in a related field and a strong publication record are required, along with expertise in deep learning frameworks like PyTorch and Python programming. Experience with LLMs/VLMs/VLAs, imitation learning/RL/planning, and simulation toolkits is preferred.
Must have:
  • PhD in AI/ML or related field
  • Strong publication record
  • Deep learning expertise (PyTorch)
  • Python programming skills
  • Experience with physical robots
Good to have:
  • Experience with LLMs/VLMs/VLAs
  • Imitation learning, RL, or planning experience
  • MuJoCo or IsaacSim experience
  • Top-tier publications with empirical evaluation on physical robots
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 is seeking exceptional researchers passionate about making robots a helpful and safe part of everyday reality. As a member of our team and its collaborations, you will do ground-breaking research at the junction of decision-making (imitation learning, RL, planning) and large multimodal models to enable robots to act and learn robustly in weakly structured environments. 

Qualifications

Required qualifications: 

  • PhD in AI/ML, physics, statistics, mechanical engineering, or closely related areas. 
  • Well-established track record of research publications, open-source software releases, and other scientific activities. 
  • Demonstrated expertise with deep learning frameworks such as PyTorch and strong Python programming skills. 

  

Other Requirements: 

 

As a part of you application, please submit the following materials as attachments:

  • Your CV. 
  • Two conference, journal, or arXiv articles, book chapters, or equivalent writing samples that best demonstrate your expertise. 
  • (Optional) The names of two references. 

 

Preferred qualifications: 

  • Experience with at least one project with a publicly available codebase where the candidate has contributed to LLM/VLM/VLA pre- or post-training. 
  • At least one top-tier-venue publication with empirical evaluation done by the candidate on physical robot hardware. 
  • Experience with at least one project with a publicly available codebase where the candidate has contributed to implementing an imitation learning, RL, or planning approach. 
  • Experience with MuJoCo or a PhysX-based simulation toolkit such as Isaac Sim. 
  • Demonstrated ability to collaborate, communicate effectively, and work as part of a team. 

 

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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

  • Conduct research in multimodal model training and inference as well as data-efficient learning for decision making to advance state of the art in mobile robotic manipulation. 
  • Build proofs of concept that demonstrate the effectiveness of your approaches on physical robot hardware. 
  • Actively contribute to team projects as well as collaborations with Microsoft-internal and external partners. 
  • Engage in open research activities, including publishing your research findings.  
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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