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 AI Systems and Infrastructure 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 research on state-of-the-art AI-driven approaches, methodologies, and technologies to improve the performance, efficiency, scalability, and reliability of AI systems and infrastructure.
Design, develop, and evaluate AI-driven methodologies, algorithms, and frameworks for optimizing AI systems and infrastructure performance, resource utilization, and operational efficiency.
Collaborate with cross-functional teams, including hardware engineers, software engineers, data scientists, and product managers, to develop and deploy AI-driven solutions for AI systems and infrastructure optimization and automation.
Stay current with the latest advancements in AI, machine learning, distributed systems, cloud computing, and system architecture to drive innovation in AI-driven system and infrastructure management.
Publish research findings in leading conferences, journals, and other technical venues, and present AI-driven innovations and research outcomes to internal and external stakeholders.
Mentor and guide fellow researchers and engineers in AI-driven research methodologies, system optimization techniques, and infrastructure innovation.
Collaborate with industry partners, academic institutions, and research communities to advance AI-driven research initiatives and next-generation AI systems and infrastructure technologies

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.
3+ years of experience in research related to AI systems and infrastructure, including areas such as agent systems, ML systems, AI accelerators, distributed systems, or autonomous infrastructure management.
Understanding of technologies related to AI systems, networking, infrastructure, and accelerators.
Demonstrated experience publishing research papers as a lead author or key contributor in top-tier conferences or journals.
Experience presenting research at leading conferences in AI systems, machine learning systems, networking, AI hardware, or related domains.
Technical background in AI systems and infrastructure technologies, including AI/ML systems, databases, networking, AI infrastructure, and hardware acceleration technologies.
Knowledge of emerging advancements in areas such as agent systems, ML systems, AI accelerators, autonomous system optimization, and AI-driven infrastructure management.
Proven ability to develop innovative AI-driven techniques for improving the performance, scalability, efficiency, reliability, or automation of AI systems and infrastructure.

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.

Microsoft

Senior Researcher - AI Systems and Infrastructure

About the Job

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About the Company

Microsoft

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