Senior Applied Scientist

Vancouver, British Columbia, Canada

Date posted

Aug 19, 2025

Job number

1857116

Work site

Up to 50% work from home

Travel

0-25**%**

Role type

Individual Contributor

Profession

Research, Applied, & Data Sciences

Discipline

Applied Sciences

Employment type

Full-Time

Overview

Microsoft Teams is at the forefront of modern communication and collaboration, serving as the central hub where people, content, and tools converge to drive productivity and engagement. As a cornerstone of Microsoft’s modern work, life, and education vision, Teams is transforming how individuals and organizations connect across the globe.

The Enterprise Voice team is pioneering the next generation of intelligent communication experiences. We are leveraging cutting-edge AI technologies—including large foundation models, prompt engineering, and generative AI—to redefine how voice interactions are delivered, understood, and enhanced. Our innovations power Microsoft Copilot and other AI-driven features that make communication more natural, efficient, and context-aware.

We are seeking a Senior Applied Scientist to join the Enterprise Voice team within the Teams Calling, Meeting & Devices group. This role is ideal for someone passionate about building intelligent, scalable, and secure voice communication experiences powered by cutting-edge AI.

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 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.
• 2+ years experience with transformer-based models (e.g., GPT, Llama).
• 2+ years experience in coding and design, specifically in the development of AI models for scaled production services.
• 2+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

Background Check Requirements:

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

Preferred Qualifications:

• 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.
• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 6+ years experience with Python and relevant ML libraries (e.g., PyTorch).
• 8+ years experience conducting research as part of a research program (in academic or industry settings).
• 6+ years experience in coding and design, specifically in the development of AI models for scaled production services.
• 6+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.
• Deep expertise in one or more of the following: supervised learning, deep learning, natural language processing, reinforcement learning, computer vision, time series forecasting, or causal inference.
• Experience programming with Python, Typescript, C# (any) is preferred.
• Relevant experience in Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) or Vision, Audio, and Multimodal Foundation Models or gentic Systems or Prompt Tuning or Natural Language Processing or Human-AI Interaction.
• Experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
• Experience demonstrating leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
• Experience demonstrating a growth mindset, customer obsession, and Inclusion.
• Demonstrated passion for product impact, including state-of-the-art tools, technologies, and methods being used in the research community and product groups.

Applied Sciences IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

Find additional pay information here:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Microsoft will accept applications for the role until September 2, 2025

Responsibilities

• Design, implement, validate, and ship AI-powered features end-to-end for Microsoft Teams.
• Collaborate with Program Managers, Designers, and Researchers to define product requirements, timelines, and measurable success criteria.
• Maintain and improve system performance, reliability, latency, and scalability of AI-powered features in production.
• Participate in code reviews, debugging, telemetry reviews, and continuous delivery processes.
• Champion a culture of scientific rigor, ethical AI, and innovation across the team.
• Communicate scientific findings and technical designs clearly to product and engineering leadership.
• Drive exploration of hybrid AI experiences (cloud + edge + LLM) for responsiveness, privacy, and enterprise value.
• Experience prompt tuning, fine tuning and RAG system development, experience with Evaluation, A/B testing, Experimentation.
• Navigate ambiguity with creativity and initiative, helping define the roadmap for AI integration in Microsoft Teams.
• Operate in a fast-paced, collaborative environment, working across multiple organizations to ship globally scaled products.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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Industry leading healthcare

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Educational resources

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Discounts on products and services

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Savings and investments

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Maternity and paternity leave

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Generous time away

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Giving programs

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Opportunities to network and connect

Microsoft is an equal opportunity employer. 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.