Principal Applied Scientist

3 weeks ago

Vancouver, Canada Microsoft Full time

Overview

Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe.

We are seeking a Principal Applied Scientist for the Microsoft Teams Calling, Meeting & Devices group. This person will collaborate with a multi-functional group to deliver next generation innovations and experiences leveraging, fine tuning and prompt engineering foundation models. Partner with product and engineering teams to invent and deliver on the future for Microsoft CoPilot and other generative AI products.

You are someone who

Is a collaborator working across multiple disciplines to deliver innovation. Confidently helps make and communicate priorities and tradeoffs to lay out a path for achieving a vision. Can inspire without authority across teams and motivate individuals to work together towards common goals. Thrives in a bit of chaos then creates the structure needed to execute smoothly at scale.

Our culture is inclusive, customer-driven, and energized; our team members come from diverse backgrounds, are passionate and loyal to coworkers and our products, and grounded in our customer and business needs. Our team has a sense of artisanship and accountability and provides its members many opportunities for learning and career growth.

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.

Qualifications

Required Qualifications:

Bachelor'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 Master'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 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.

Preferred Qualifications:

PhD in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent. 9+ years of experience in machine learning 5+ years using ML tools like Pytorch and TensorFlow Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems.

Applied Sciences IC5 - The typical base pay range for this role across Canada is CAD $135,800 - CAD $253,000 per year.

Find additional pay information here:

Microsoft will accept applications for the role until June 18, 2024. 

Responsibilities

Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning. Develop and deploy conversational and language understanding models at scale. Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning. Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services. Embody our and . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

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