Principal Applied Scientist - ML & Deep Learning

Microsoft • Redmond, WA

14h • $142,800 - $304,200

About The Position

Microsoft is developing the Intelligent Conversation and Communications Cloud (IC3), which supports real-time conversation products such as Teams and provides dependable audio, video calls, meetings, and chat services to millions of users. IC3 also offers core features to third-party partners and aims to make conversations smarter by providing real-time information and automating actions during interactions, with the goal of improving future conversations.

The Principal Applied Scientist will work with AI researchers and audio signal processing experts to design and build end-to-end machine learning systems for human-human and human-AI interactions. The role covers the full product lifecycle, from prototyping to shipping production-grade code and updating deployed models based on A/B testing. The scientist will also track research and industry developments and contribute to Microsoft’s intellectual property portfolio.

Requirements

• Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 6+ years of related experience, or a master's degree in one of those fields and 4+ years of related experience, or a doctorate in one of those fields and 3+ years of related experience, or equivalent experience.
• Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

• Master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 9+ years of related experience; or a doctorate in one of those fields and 6+ years of related experience; or equivalent experience.
• 5+ years of experience creating publications, such as patents, libraries, or peer-reviewed academic papers.
• 2+ years of experience presenting at conferences or other events in the outside research or industry community as an invited speaker.
• 5+ years of experience conducting research as part of an academic or industry research program.
• 3+ years of experience developing and deploying live production systems as part of a product team.
• 3+ years of experience developing and deploying products or systems at multiple points in the product cycle, from ideation to shipping.
• 6+ years of industry experience developing or deploying machine learning algorithms.
• Experience with code delivered in shipping products.
• Experience building production-grade ML pipelines.
• Domain-specific experience in Audio Digital Signal Processing.

Responsibilities

• Collaborate with AI researchers and audio signal processing experts to design and build end-to-end ML systems tuned for human-human and human-AI interactions.
• Design and develop ML pipelines involving data cleaning, feature engineering, model training, and evaluation.
• Work across the product lifecycle, from prototyping to shipping production-grade code optimized for performance and memory.
• Update deployed models based on A/B testing.
• Stay up to date with advancements, trends, and research, and contribute to the IP portfolio.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal