Help build the world’s most advanced reinforcement learning platform at Microsoft AI.

We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you’ll help advance state-of-the-art algorithms for model alignment and develop tools to extend model capabilities to numerous product domains within Microsoft.

We are looking for candidates who are both scientists and software engineers. The ideal candidate will be able to build robust systems that help our team solve the next generation of AI problems. They would:

• Excel in coding, software engineering, and API design

• Have a background in machine learning and scientific computing

• Thrive in a highly collaborative, fast-paced environment

• Have a high degree of craftsmanship and pay close attention to details

• Effectively manage multiple responsibilities and can adjust to shifting priorities

_By applying to this Mountain View, CA you are required to be local to the San Francisco area and in office 3 days a week. _

Responsibilities

• Design and develop the core infrastructure of the RL Platform, focusing on systematizing and extending RL algorithms for LLMs to a variety of present and future environments.

• Assist in development of new algorithms and help onboard other team members to state-of-the-art techniques.

• Collaborate with cross-functional teams to ship new agentic AI product capabilities.

• Embody our culture (https://careers.microsoft.com/v2/global/en/culture) of collaboration, innovation, and excellence.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and 4+ years of experience in software development, API design, or platform engineering.

• OR equivalent experience.

• Experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python and experinece with API deisgn

• Experience with large-scale software systems and infrastructure.

• Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains.

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years software development or platform engineering

• OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

• Background in scientific computing or machine learning.

• Experience with large scale distributed RL or post-training systems

• Experience with developing software platforms

• Ability to work collaboratively in a fast-paced, innovative environment.

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.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 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 and processes offers for these roles on an ongoing basis.

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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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .