Principal Research Software Development Engineer

Microsoft Research (MSR) is seeking applications for the position of Principal Research Software Development Engineer - GenAI to join their team in Redmond, WA. 

At Microsoft Research, our researchers and engineers pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.  

We are seeking an engineer to join our team and contribute to the advancement of generative Artifical Intelligence (AI) agent framework. As a Principal Research Software Development Engineer - GenAI, you will play a crucial role in community building, governing technical direction, and address agile development needs of an open-source project, AutoGen. Your work will have a significant impact on the research and development of next-generation AI-agent applications powered by large language models and foundation models. 

MSR offers a vibrant environment for cutting-edge, multidisciplinary, research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic institutions around the world. 

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Required Qualifications: 

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in Python. 
  • OR equivalent experience. 
• 2+ years experience working with collaboration tools including, but not limited to, Git.

Preferred Qualifications:

• Familiarity with large language models (LLMs) 
• Contributions to open-source projects  
• Familiarity with AI frameworks such as PyTorch 
• Familiarity with JavaScript, C#, C++, Java, C 
• Familiarity in Cloud stacks and architecture, such as Azure 
• Effective communication skills and the desire to collaborate in a multi-disciplinary team 
• Deep understanding of computing systems

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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 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.

#Research

• Supports AutoGen, related teams and community in code reviews, issue triage, discuss on Discord and other community engagement channels. 
• Grow the community of users and developers of AutoGen. 
• Increase the adoption of AutoGen in products and research. 
• Improve the usability and user experience by building intuitive interfaces and integrating with the ecosystem. 
• Collaborate with research and engineering teams to determine user requirements and drive the project plans. 
• Identify emerging technology trends and science breakthroughs in generative AI and agents, and drive important technical directions. 
• Address challenges in system design, architecture and implementation to unblock production deployment. 
• Embody our culture and values.