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Responsibilities
Build, evaluate, and improve AI/ML experiences (LLMs, RAG, agentic, multimodal systems).
Design evaluation frameworks for quality, grounding, reliability, safety, and UX.
Build offline experimentation pipelines for models/prompts/retrieval/system designs.
Partner across product/engineering/science to define measurable objectives and success metrics.
Analyze failures and drive clear product/technical improvements.
Build production-grade ML systems (scalability, latency, reliability, observability, maintainability).
Contribute to MLOps (data pipelines, telemetry, regression testing, monitoring).
Communicate risks/tradeoffs/recommendations and mentor peers.
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.
Other 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.
- 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).
- Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 3+ years experience conducting research as part of a research program (in academic or industry settings).
- 1+ year(s) experience developing and deploying live production systems, as part of a product team.
- 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- Experience building, evaluating, and shipping production AI/ML systems.
- Hands-on LLM experience (prompting, evaluation, RAG, agents/tool use, failure analysis).
- Solid software engineering skills for reliable, maintainable systems.
- Experience designing experiments and using data to drive decisions.
- Understanding of evaluation methods, dataset/annotation strategy, benchmarks, regression testing, and production monitoring.
- Ability to translate customer/product goals into measurable technical/scientific objectives.
- Solid cross-functional collaboration and communication skills.
- Experience building and shipping AI/ML systems in production, including LLM-based applications.
- Experience with evaluation frameworks for model quality, reliability, grounding, safety, and user impact.
- Solid background in experimentation, error analysis, and data-driven model/system improvement.
- Experience with retrieval-augmented generation (RAG), agentic workflows, and multimodal AI systems.
- Publications, patents, or other recognized technical contributions in AI/ML.
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
Applied 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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