Responsibilities
- Conduct research on state-of-the-art AI-driven system methods and technologies to identify opportunities for system innovation and acceleration.
- Develop and implement new methodologies, techniques, and algorithms to improve the performance, efficiency, and scalability of AI-driven systems.
- Collaborate with cross-functional teams, including hardware and software engineers, data scientists, and product managers, to develop and deploy innovative AI-driven system solutions.
- Stay current with the latest trends, research, and developments in AI, machine learning, and system architecture to keep our systems at the forefront of innovation.
- Evaluate the performance of AI-driven systems and recommend improvements and optimizations.
- Publish research findings in peer-reviewed journals, conferences, and other venues, and present results to internal and external stakeholders.
- Mentor and guide junior researchers and engineers in their R&D efforts.
- Collaborate with industry partners and academic institutions on joint research projects and initiatives.
Qualifications
Required/Minimum Qualifications:
- Doctorate in a relevant field AND 3+ years of related research experience.
- OR equivalent experience.
- 3+ years’ experience in research related to systems, architecture, or artificial intelligence.
Additional or Preferred Qualifications:
- Doctorate in a relevant field AND 5+ years of related research experience.
- OR equivalent experience.
- Experience publishing academic papers as a lead author or essential contributor.
- Experience participating in top conferences in relevant research domains.
- Background in systems and networking, including experience with machine learning systems, databases, and networking technologies.
- Deep knowledge of latest technical advancements such as Agent Systems, Vector Databases, and ML Systems.
- A track record of published research in AI-driven system innovation is a plus.
The typical base pay range for this role across Canada is CAD $132,800 - CAD $247,200 per year. Find additional pay information here. Microsoft accepts applications and processes offers on an ongoing basis. Microsoft is an equal opportunity employer, considering all qualified applicants without regard to age, ancestry, color, family or medical leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex, sexual orientation, or any other characteristic protected by law. If you need assistance or a reasonable accommodation due to a disability during the application or recruiting process, please send a request via the Accommodation request form. Benefits and perks may vary depending on employment nature and country.