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Salary
$81k – $145k per year
Location
In office (Vancouver)
Seniority
Senior · 8+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 19, 2026. Microsoft scores B on the Alion truth index.

Overview
Company
Impact
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Microsoft is an American multinational technology corporation founded in 1975 by Bill Gates and Paul Allen and headquartered in Redmond, Washington. It built the personal computing era around the Windows operating system and the Office productivity suite, and now generates the largest share of its revenue from Azure cloud infrastructure and commercial subscriptions. The company also owns GitHub, LinkedIn and the Xbox gaming business, and has invested heavily in artificial intelligence through its partnership with OpenAI and the Copilot assistants embedded across its products.
Overview

Microsoft Research(MSR), a leading industrial research laboratory, comprises over 1,000 computer scientists working across the United States, United Kingdom, China, India, Canada, and the Netherlands.

We are currently seeking a Senior Researcher in the area of Artificial Specialized Intelligence located in Vancouver, British Columbia, with a keen interest in developing cutting-edge large foundation models and post-training techniques for different domains and scenarios. This is an opportunity to drive an ambitious research agenda while collaborating with diverse teams to push for novel applications of those areas.

Over the past 30 years, our scientists have not only conducted world-class computer science research but also integrated advanced technologies into our products and services, positively impacting millions of lives and propelling Microsoft to the forefront of digital transformation

#MSRR #Research

At Microsoft, our mission-to empower every person and every organization on the planet to achieve more-guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress-people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Responsibilities

  • Conduct cutting-edge research in large foundation models, focusing on applying large foundation models in specific domain.
  • Collaborate with cross-functional teams to integrate solutions into Artificial Intelligence (AI) -driven system.
  • Develop and maintain research prototypes and software tools, ensuring that they are well-documented and adhere to best practices in software development.
  • Publish research findings in top-tier conferences and journals and present your work at industry events.
  • Collaborate with other AI researchers and engineers, sharing knowledge and expertise to foster a culture of innovation and continuous learning within the team.

Qualifications

Required/Minimum Qualifications:

  • Doctorate in relevant field
    • OR Master's Degree in relevant field AND 3+ years related research experience
    • OR Bachelor's Degree in relevant field AND 4+ years related research experience.
    • OR equivalent experience.

Additional/Preferred Qualifications:

  • Doctorate in relevant field AND 3+ years related research experience
    • OR Master's Degree in relevant field AND 6+ years related research experience
    • OR Bachelor's Degree in relevant field AND 8+ years related research experience
    • OR equivalent experience.
  • Experience publishing academic papers as a lead author or essential contributor.
  • Experience participating in a top conference in relevant research domain.
  • Background in system and architecture, including experience with computer hardware, software, and networking technologies.
  • Deep knowledge about the latest large model training/inference technology such as instruction finetuning, Reinforcement Learning (RL) and Reinforcement Learning with Hindsight Experience Replay (RLHF), processed and self-reward modeling, low-precision training/inference, etc.
  • A track record of published research in the field of AI or other system innovation is a plus.
  • Keen interest in general AI research, including but not limited to large foundation models and artificial specialized intelligence

Research 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

Research Sciences IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.

Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:

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

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.

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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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