Job Description

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-AI 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 an **Applied Scientist II** to join our team! The Applied Scientists II will design, develop and ship AI models into the Teams media stack while working alongside with other industry experts in the same audio video field and publishing their work to benefit the research community. This role requires you to be onsite 3 days a week in Microsoft's offices 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** + Collaborating with AI researchers and audio signal processing experts to design and build end-to-end machine learning (ML) systems, tuned for human-human and human-AI interactions. + Design and develop machine learning (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. **Qualifications** **Required Qualifications:** + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research) + OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field + OR equivalent experience. + 2+ years of experience in development/deployment of machine learning algorithms. **Other Requirements:** Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. **Preferred Qualifications:** + 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers). + Experience explaining complex ideas to technical and non-technical audiences. + Experience contributing code to production systems or shipped products. + Experience building and maintaining production-grade ML (machine learning) pipelines. Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: m/us/en/us-corporate-pay Microsoft will accept applications and processes offers for these roles on an ongoing basis. \#M365Core Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

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Local area, 3 days per week,

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