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 Researcherin the area of AI Systems and Infrastructure located inVancouver, 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 drivean ambitiousresearch agenda while collaborating with diverse teams to push for novel applications ofthose 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.

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.

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 creative AI-driven techniques for improving the performance, scalability, efficiency, reliability, or automation of AI systems and infrastructure.

Compensation

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

📌 Senior Researcher (Vancouver)
🏢 Microsoft
📍 Vancouver