AI Safety Researcher

1 Month ago • 1-5 Years • Artificial Intelligence • $98,300 PA - $208,800 PA

Job Summary

Job Description

Microsoft's AI Red Team seeks an AI Safety Researcher to proactively identify vulnerabilities and design mitigations for their large-scale AI systems (Phi series, Bing Copilot, etc.). The role involves conducting research on adversarial machine learning and AI safety, implementing security protections, collaborating with interdisciplinary teams, contributing to open-source projects (like Counterfit and PyRIT), and sharing research findings. The ideal candidate possesses experience in adversarial machine learning, AI safety, or related fields, and a strong academic background in a relevant field (e.g., Computer Science, Statistics). The position offers remote work opportunities and a competitive salary.
Must have:
  • Adversarial Machine Learning experience
  • AI Safety research experience
  • Mitigation design and implementation
  • Collaboration with interdisciplinary teams
  • Research and publication experience
Good to have:
  • Publications at NeurIPS, ICML, etc.
  • Security mitigation design experience
  • CTF/GRT/AI Red Teaming experience
  • OSS project contributions
Perks:
  • Industry-leading healthcare
  • Educational resources
  • Product and service discounts
  • Savings and investments
  • Maternity/paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

 

Do you have research experience in Adversarial Machine Learning or AI Safety Research? Do you want to find failures in and design mitigations for Microsoft’s big bet AI systems impacting millions of users? Join Microsoft’s AI Red Team’s Long-Term Ops and Research wing, where you will get to work alongside security experts to push the boundaries of AI Red Teaming. We are looking for an early-career researcher with experience in mitigations, adversarial machine learning, and/or AI safety to help make Microsoft's AI products safer and help our customers expand with our AI systems. We are an interdisciplinary group of red teamers, adversarial Machine Learning (ML) researchers, Responsible AI experts, and software developers with the mission of proactively finding failures in Microsoft’s big bet AI systems. Your work will impact Microsoft’s AI portfolio, including Phi series, Bing Copilot, Security Copilot, GitHub Copilot, Office Copilot, Windows Copilot and Azure OpenAI. We are open to remote work. More about our approach to AI Red Teaming:

 

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.

Qualifications

Required Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field [GS1.1][AM1.2] AND 2+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • OR equivalent experience.
  • 1+ experience in adversarial machine learning, AI safety, or related fields

Other Requirements

 

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 

 

 

Preferred Qualifications:

  • Demonstrated publications or presentations at conference and workshops focused on AI and Security such as NeurIPS, ICML, ICLR, SaTML, CAMLIS, Usenix, AI Village, Blackhat, Bsides
  • Background in designing and implementing security mitigations and protections and/or publications in the space
  • Ability to work collaboratively in an interdisciplinary team environment
  • Participation in prior CTF/GRT/AI Red Teaming events and/or bug bounties Developing or contributing to OSS projects.


Applied 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 for the role until January 27, 2025.

 



#MSFTSecurity #AI #RAI #Safety #Security #MSECAIR #AEGIS #airedteam #airt

 

 

Responsibilities

  • Conducting research to identify vulnerabilities and potential failures in AI systems.
  • Designing and implementing mitigations, detections, and protections to enhance the security and reliability of AI systems.
  • Collaborating with security experts and other interdisciplinary team members to develop innovative solutions. • Contributing to our open-source portfolio, including projects like Counterfit and PyRIT.
  • Engaging with the community to share research findings and best practices.
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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