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.
Artificial Intelligence has the potential to change the world around us, but we must act ethically along the way. At Microsoft, we are committed to the advancement of AI driven by ethical principles. We are looking for a Senior Software Engineer to join us and create the AI safety platform to deliver on that promise. Are you passionate about security and technology in society? This may be a great opportunity for you! Who we are: We are the Artificial Generative Intelligence Security (AeGIS) team, and we are charged with ensuring justified confidence in the safety of Microsoft’s generative AI products. This encompasses providing an infrastructure for AI safety; serving as a coordination point for all things AI incident response; researching the quickly evolving threat landscape; red teaming AI systems for failures; and empowering Microsoft with this knowledge. We partner closely with product engineering teams to mitigate and address the full range of threats that face AI services – from traditional security risks to novel security threats like indirect prompt injection and entirely AI-native threats like the manufacture of NCII or CSAM or the use of AI to run automated scams. We are a mission driven team intent on delivering trustworthy AI and response processes when it does not live up to those standards. We are always learning. Insatiably curious. We lean into uncertainty, take risks, and learn quickly from our mistakes. We build on each other’s ideas, because we are better together. We are motivated every day to empower others to do and achieve more through our technology and innovation. Together we make a difference for all of our customers, from consumers to Fortune 50 enterprises. Our team has people from a wide variety of backgrounds, previous work histories, and life experiences, and we are eager to maintain and grow that diversity. Our diversity of backgrounds and experiences enables us to create innovate solutions for our customers. Our culture is collaborative and customer focused. What we build: We build the Microsoft-wide AI safety platform that enables our generative AI products and services to be safe and secure. We enable product engineering teams to utilize these safety services through robust APIs. We partner with security product teams to provide them with awareness of AI threats in their environments and to take action against those threats. The safety platform is updated from our learnings and research to combat the latest threats to generative AI services.
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

Requirements:

• Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Javascript, or Python.
• OR equivalent experience
• Experience developing production systems in C# OR Python
• Experience developing publicly released SDK’s (Software Development Kit)

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

ADDITIONAL OR PREFERRED QUALIFICATIONS:

• A desire to learn, grown, and drive change
• Experience with .Net services
• Experience in C# and Python.
• 4+ years of commercial systems level software development experience, with one or more of the following: Distributed Systems, Information Retrieval and/or Data Mining, Machine Learning fundamentals.
• Ability to communicate technical details clearly across organizational boundaries.
• Experience in DevOps to maintain live services and\or application frameworks.
• Experience with LLM orchestration
• Experience with hosting ML models
• Strong interpersonal awareness
  Software Engineering 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: https://careers.microsoft.com/us/en/us-corporate-pay
  Microsoft will accept applications for the role until August 8, 2024.
  

  MSECAIR #MSFTSecurity #AI #RAI #Safety #Security

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

Bring your passion for security and safety, engineering know-how for building back-end platforms, and a desire to be on the cutting edge of generative AI advancements. Come ready to work closely with applied scientists and engineers on building and designing both backend platform capabilities as well as core copilot scenarios aimed at delighting our customers. You will be responsible for building scalable, performant, and cutting-edge features to secure and mitigate potential harm of Microsoft’s copilots. This involves collaborating in defining architecture, implementation, ensuring everything is tested and robust, and defining processes to improve our best practices.

The main responsibilities include but are not limited to:

• Develop and deliver solutions in an evolving, fast-changing development environment.
• Collaborate on the design of the overall services with a focus on service reliability and automated troubleshooting.
• Solve issues through software or automation improvements.
• Work independently to implement, experiment and ship features.
• Deliver well-tested framework features to serve many different services and platforms
• Be a champion for customer security outcomes by providing timely, relevant guidance and detection/mitigation recommendations
• Collaborate and drive with partners across Microsoft’s security community to innovate new approaches for detecting and tracking threats
• Be part of the diverse Microsoft security community by being available to others and drive change through sharing, coaching, and modeling appropriate risk taking and ethical behavior
• Embody our Culture and Values