Principal Software Architect

2 days ago


Mountain View, California, United States Microsoft Corporation Full time
Empower Innovation at Scale

We are seeking a highly skilled Principal Applied Scientist to join our team in Redmond, WA or Mountain View, CA. As a key member of our Core Search and AI team, you will play a critical role in empowering the rest of Microsoft's teams and customers to build on our industrial-grade machine learning capabilities.

The ideal candidate will have expertise in a broad area of research and a deep understanding of applicable research techniques. You will serve as a team expert on industry trends, products, and advances, applying this knowledge to influence product needs and drive business impact.

This is an exceptional opportunity to work with a talented team of engineers, scientists, and program managers who share your passion for making the world smarter and more productive. We believe in the importance of diversity, equity, and inclusion in our workplace and strive to create an environment where everyone can thrive.

About the Role:

  • Demonstrate expertise in a broad area of research and understand applicable research techniques.
  • Review business and product requirements, incorporate research, and provide strategic direction for problem-solving.
  • Identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives.
  • Document work and experimentation results and share findings to promote innovation.

What We Offer:

  • A competitive salary range of $137,600 - $267,000 per year, depending on location.
  • A comprehensive benefits package, including medical, dental, and vision insurance.
  • Opportunities for professional growth and development.
  • A dynamic and inclusive work environment.

Requirements:

  • Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
  • OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
  • OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.
  • OR equivalent experience.
  • 3+ years of experience in Machine Learning in deep learning projects.
  • 3+ years of experience in recommendation algorithms or natural language processing.


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