Senior Applied Scientist

Microsoft • Redmond, WA

7d

About The Position

We are developing the Intelligent Conversation and Communications Cloud (IC3) to support Microsoft’s real-time conversation products like Teams, serving millions of users with dependable audio, video calls, meetings, and chat services. We also offer our core features to third-party partners to enhance their products. IC3 aims to make conversations smarter by providing real-time information and automating actions during interactions. Each call, meeting, or chat will make future conversations better.
We are looking for a Senior Applied Scientist to drive the development and production deployment of state-of-the-art Audio ML models. The ideal candidate has hands-on ML expertise, experience delivering ML models in real-world applications. Background in audio ML or signal processing is a plus.
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.

Requirements

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience .
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 4+ years of experience in development/deployment of machine learning algorithms.
• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Experience contributing code to production systems or shipped products.
• Hands-on experience building and maintaining production-grade ML pipelines.
• Domain specific experience in Audio Digital Signal Processing.

Responsibilities

• Collaborating 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 and updating the deployed models based on A/B testing.
• Remain up to date with latest advancements, trends and research and contribute towards our IP portfolio.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees