Applied Scientist II

Microsoft Corporation • Redmond, WA

42d • Onsite

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-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.

Requirements

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Nice To Haves

• 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.

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.

What This Job Offers

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