Jobs in Canada

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Added 5 days ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 5 days ago
SM
RQ11717 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 5 days ago
SM
RQ11487 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
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Senior Financial Analyst
DCM
Brampton, ON
- $80,133 to $100,166 CAD / year
- Full-time
This is a hybrid role, working a minimum of 3 days per week in our Brampton office
Added 5 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 5 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 5 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 5 days ago
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Vice President of Engineering
Vantage
Remote, Canada
- $200,000 CAD / year
- Full-time
- Remote
Location: Greater Toronto Area (must be based in the GTA)
Added 5 days ago
RB
Risk Analyst, Third Party Disaster Readiness
Royal Bank of Canada
Toronto, ON
- Full-time
Identify and escalate material risks, unresponsiveness, delayed service level agreements (SLAs), and critical deficiencies to senior leadership for timely action.
Added 5 days ago
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HR Business Partner - Talent & Employee Relations
Bimeda
Cambridge, ON
- Full-time
Pull and review workforce data, BambooHR reports and employee feedback to spot issues and give leaders practical, fact-based recommendations.
Added 5 days ago
A
AI Literacy and Community Manager
ATB
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
Measurement & Impact Analytics: Define, track, and report on enterprise AI adoption, literacy completion rates, sentiment logs, and behavior change metrics to senior stakeholders, using…
Added 5 days ago
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Senior Program Manager, Talent Development
Twilio
Remote, Canada
- Full-time
- Remote
Strong experience with learning analytics, dashboards, and KPIs to drive data-informed decisions.
Added 5 days ago
M
Senior Machine Learning Engineer / Applied Scientist
Microsoft
Vancouver, BC
- Full-time
We are looking for a Senior Machine Learning Engineer / Applied Scientist to help design, evaluate, and ship the next generation of AI-powered product experiences. The role combines strong…
Added 5 days ago
A
Associate Director, PPC Marketing (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 5 days ago
A
Manager, PPC Marketing (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 5 days ago
A
Senior Manager, Marketing Strategy (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
The Performance Marketing team is looking for a strategic and data-driven Senior Manager to lead the marketing function for one of Agoda's most strategic partnerships, owning the P&L,…
Added 5 days ago
A
Senior Manager - Flights Marketing (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 5 days ago
A
Senior Manager, Performance Marketing (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
The Performance Marketing team is looking for a strategic and data-driven Senior Manager to lead the marketing function for one of Agoda's most strategic partnerships, owning the P&L,…
Added 5 days ago
A
Content Marketing Manager, B2B Marketing (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Translate complex technology, product capabilities, data, and business insights into clear, differentiated narratives tailored to senior B2B audiences.
Added 5 days ago
A
Specialist/ Senior specialist, Marketing Campaign (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
…#sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaar data representation data analysis SQL data analytics analytics python (programming language) data mining data science r…
Added 5 days ago
A
Senior Manager, Marketing Analytics (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
The Performance Marketing team is looking for a strategic and data-driven Senior Manager to lead the marketing function for one of Agoda's most strategic partnerships, owning the P&L,…
Added 5 days ago
A
Associate Manager, Marketing Innovation (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 5 days ago
A
Associate Manager/ Manager - Flights Marketing (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 5 days ago
A
Analyst/ Senior Analyst, Pricing Marketing (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
…#brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r…
Added 5 days ago
A
Analyst/ Senior Analyst, Pricing Optimization (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
…#brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r…

Senior Machine Learning Engineer / Applied Scientist

Vancouver, BC, Canada

Applied Sciences IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year. · Full-time

Apply on apply.careers.microsoft.com About employer

Applications open in a new tab.

Job details

Pay: Applied Sciences IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.
Job type: Full-time
Posting language: English
Posted: Nov 5, 2026

Original job description

Overview

We are looking for a Senior Machine Learning Engineer / Applied Scientist to help design, evaluate, and ship the next generation of AI-powered product experiences. The role combines strong machine learning and applied science depth with hands-on engineering, product judgment, and end-to-end ownership from prototyping through launch and continuous improvement.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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.

Preferred Qualifications:

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.

Apply on apply.careers.microsoft.com About employer

More about this job

Responsibilities

Design, build, and evaluate AI/ML systems including LLMs, RAG, and agentic workflows to improve product experiences. Partner with cross-functional teams to define success metrics and ensure production-grade scalability, reliability, and maintainability.

Requirements

Requires a degree in a quantitative field such as Computer Science, Statistics, or Engineering with several years of relevant experience in research or predictive analytics. Candidates must demonstrate strong software engineering skills and experience in deploying production-grade AI/ML systems.

Skills

Machine Learning
Applied Science
LLMs
RAG
Agentic Workflows
Multimodal Systems
Software Engineering
MLOps
Data Pipelines
Experimentation
Telemetry
Regression Testing
Product Strategy
Scalability
Latency Optimization
Cross-functional Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Applied Scientist
LLM
RAG
Agentic
Multimodal
MLOps
Data Pipelines
Telemetry
Regression Testing
Scalability
Latency
Observability
Statistics
Econometrics
Computer Science
Electrical Engineering
Predictive Analytics
Research
Product Development
Experimentation
Software Engineering
AI
Cloud Background Check
Evaluation Frameworks

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Jobs in Canada