Senior Software Engineer - Windows AI Agent

Redmond, Washington, United States

Microsoft

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Imagine playing a pivotal role in shaping the future of AI by building the core infrastructure that powers next-generation AI (Artificial Intelligence) models. The Windows AI team is at the forefront of developing cutting-edge AI solutions that enhance user experiences across billions of devices. We are seeking a Senior Software Engineer - Windows AI Agent to focus on scalable model infrastructure, automation, and cloud-based AI workflows for fine-tuning local models, specifically Phi. 

 

This role is ideal for engineers who thrive on solving complex infrastructure challenges and have a deep understanding of cloud-based AI model deployment, fine-tuning pipelines, and automation. You will play a critical role in ensuring that our AI models operate efficiently, scale seamlessly, and integrate smoothly with local AI environments. 

 

This position is remote eligible within the U.S with preference for ability to be on-site in Redmond, WA.

 

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.

Responsibilities

  • Data Pipeline Development: Design, build, and maintain scalable, reliable, and efficient data pipelines for collecting, processing, and transforming large-scale datasets. 
  • Data Distillation & Curation: Implement automated data distillation techniques to refine and extract high-quality training data for local model fine-tuning. 
  • Model Fine-Tuning Support: Enable seamless data delivery pipelines for Phi model fine-tuning, ensuring efficient use of computational resources. 
  • Collaboration: Work closely with AI researchers, ML engineers, and infrastructure teams to streamline data workflows and improve AI model performance. 
  • Innovation & Best Practices: Stay up-to-date with emerging trends in AI data engineering, automation, and cloud technologies to continuously improve the team’s capabilities.
  • Cloud Automation: Develop cloud-based workflows and automation for data ingestion, preprocessing, and model training, leveraging services like Azure, AWS, or GCP. 

Qualifications

Required Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python
    • OR equivalent experience. 
  • 3+ years in Python, Scala, or Java for building scalable data workflows. 
  • 2+years experience with feature engineering or distributed computing in Machine Learning workflows. 

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

  • PhD in Machine Learning, AI, Computer Science, or a related field (or equivalent industry experience). 
  • Prior experience supporting model training or fine-tuning workflows in production is a plus.

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 February 28, 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.

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Tags: AWS Azure Computer Science Data pipelines Engineering Feature engineering GCP Java Machine Learning Model deployment Model training PhD Pipelines Python Scala Security

Perks/benefits: Career development Medical leave

Regions: Remote/Anywhere North America
Country: United States

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