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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.
Job Responsibility:
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
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
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
Nice to have:
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