Principal Applied Scientist

Microsoft Canada
Toronto, CA; US
On-site

Job Description

Overview This role is part of the Microsoft Search

Ads Network (MSAN) modeling team, focused on building

large-scale machine learning systems for ads retrieval, ranking,

user understanding and marketplace optimization across different

surfaces. The team develops end-to-end models that predict user

engagement and advertiser value - powering candidate generation,

relevance scoring, and serving stack ranking that directly impact

ad quality, delivery efficiency, and revenue. Responsibilities span

the full modeling lifecycle, including training data and labeling

strategy, feature and signal design, model development, and

rigorous offline and online evaluation. Engineers and applied

scientists work closely at the intersection of machine learning,

economics, and large-scale systems to deliver high-performance

real-time inference and robust experimentation in production.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live

within a 50- mile commute of a designated Microsoft office in the

U.S. or 25-mile commute of a non-U.S., country-specific location

are expected to work from the office at least four days per week.

This expectation is subject to local law and may vary by

jurisdiction.

Responsibilities Have a solid

background in Machine Learning, Reinforcement Learning, Causal

Inference, Data Science, Data Mining, or related field. Be

passionate about artificial intelligence and optimization at web

scale. Play a key role in driving algorithmic improvements to

online and offline systems, develop and deliver robust and scalable

solutions, make direct impact to both user and advertisers

experience, and continually increase the revenue for Bing

ads.

Qualifications Required Qualifications :

Bachelor'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 Master'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 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.

Preferred Qualifications : Master's

Degree in Statistics, Econometrics, Computer Science, Electrical or

Computer Engineering, or related field AND 9+ years related

experience (e.g., statistics, predictive analytics,

research)

OR Doctorate in Statistics,

Econometrics, Computer Science, Electrical or Computer Engineering,

or related field AND 6+ years related experience (e.g., statistics,

predictive analytics, research) OR equivalent

experience.

Research experience (publications)

in the following areas : statistical machine learning, deep

learning, data mining, causal inference, information retrieval, and

Bayesian inference. 2+ years of experience in any of the following

areas : ads retrieval and ranking system, statistical machine

learning, deep learning, data mining, causal inference, information

retrieval, game theory, mechanism design, optimization and Bayesian

inference. Proficient problem solving and data analysis skills.

Proficient software design and development skills / experience.

MicrosoftAI

Applied Sciences IC5 - The

typical base pay range for this role across Canada is CAD $142,400

  • CAD $257,500 per year.

Find additional pay

information here :

https : / / careers.microsoft.com / v2 / global / en / canada-pay-information.html

Applied

Sciences IC5 - L'échelle salariale de base typique pour ce rôle

dans l'ensemble du Canada est de 142,400 $ CAD à 257,500 $ 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

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

Skills & Requirements

Technical Skills

Machine learningReinforcement learningCausal inferenceData scienceData miningBayesian inferenceCollaborationAdaptabilityProblem solvingCuriosityAiMachine learningData science

Salary

£142,400+

year

Employment Type

FULL TIME

Level

principal

Posted

4/29/2026

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