Software Engineer II (Microsoft AI)

We are seeking a Software Engineer II (Microsoft AI) to join a team of smart and passionate engineers to bring products from inception to production. We strongly believe that collaboration enables better products, so you will work closely with Product Managers and other engineers to design solutions. As our applications continue to evolve, you will have a significant voice in deciding which best practices and tooling we adopt.

Our culture is inclusive, casual, and high energy; our team members come from diverse backgrounds and are grounded in our customers’ needs. This is a fantastic opportunity to build services and experiences that millions of people worldwide will use at home, at school, at work, and throughout their all-daily lives.

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.

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years of experience with written managed code for customer-facing services 
• 2+ years of experience with debugging code in a production system 

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements that 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

• Familiarity with Large Language Models (LLM) integration.
• Ability to leverage Berkeley Packet Filter (BPF) etc. for performance tuning.

Software Engineering 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: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until January 17, 2025. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#MicrosoftAI

Core Responsibilities:

• Build extremely low-latency services that can scale dynamically and are deployed globally.
• Implement these services in .NET, ASP.NET, C#.
• Familiarity with A/B experimentation and a forms of statistical analysis.
• Debug services in production and being able to read memory dumps and stack traces to identify issues.
• Collaborate with partner teams that deliver experiences like Copilot, Multimedia Search and Advertising to deliver platform-level features across all of them. 
• Design, write and implement services with performance, efficiency, re-usability, and maintainability as core focus. 
• Mentor engineers in the team by providing hands-on assistance, best practices, and promoting an inclusive learning environment.