Applied Scientist II - Microsoft 365 Copilot

Microsoft; Ontario; On-site; CAD 83,000 - 160,000; Full time

Job summary

Join Microsoft as an Applied Scientist II in the Turing Team to contribute to Microsoft 365 Copilot. Collaborate with experts in deep learning and NLP to enhance model training and develop impactful AI-driven features, in a culture that values growth and inclusion.

Benefits

Industry leading healthcare

Educational resources

Discounts on products and services

Savings and investments

Maternity and paternity leave

Generous time away

Giving programs

Opportunities to network and connect

Qualifications

• 2+ years related experience in statistics or predictive analytics.
• 1+ years of experience applying Machine Learning techniques.
• 2+ years of experience coding in Python, C++, C#, C or Java.

Responsibilities

• Evolve orchestrator systems for enhanced reasoning and responsiveness.
• Advance model training methods, including fine-tuning.
• Build model-driven features from concept to production.

Skills

Machine Learning

Python

C++

C#

Predictive Analytics

Education

Bachelor's Degree in Statistics or related field

Master's Degree in Statistics or related field

Doctorate in Statistics or related field

Job description

Come build the core of Microsoft Copilot for enterprise with Microsoft Turing Team, where you'll join a collaborative group of applied scientists and engineers pushing the frontier of large language models (LLMs) to improve the productivity of hundreds of millions of users around the world.

Our team is responsible for the core systems that power delivering intelligence, quality, and transformative new features. We work at the intersection of research and engineering—advancing orchestrator reasoning, training next-generation models, and shipping impactful, model-driven experiences in Microsoft 365 Copilot.

As an Applied Scientist II - Microsoft 365 Copilot , you will :

• Evolve our orchestrator to reason more effectively, respond faster, and support new capabilities in multi-modality, agent-based systems, and beyond
• Advance the state of the art in model training—including post-training methods such as fine-tuning and reinforcement learning, high-quality data curation, and experimentation with frontier model training
• Build and deliver model-driven features from concept to production—spanning model development, evaluation, metrics, and A / B testing

Recent launches like showcase the breadth and depth of impact you’ll help drive across the stack.

We’re hiring applied scientists at all levels—from entry-level to principal—who are passionate about deep learning, NLP, multimodality model, and model optimization. Come build the next generation of AI with us.

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.

Qualifications

Required / Minimum Qualifications :

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related fieldOR equivalent experience.
• 1+ years of experience applying Machine Learning techniques.
• 2+ years of experience coding in Python, C++, C#, C or Java.

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 :

• Bachelor's Degree in Statistics, Econometrics, Computer Science, ElectricalOR Computer Engineering,OR related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)OR Master's Degree in Statistics, Econometrics, Computer Science, ElectricalOR Computer Engineering,OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)OR Doctorate in Statistics, Econometrics, Computer Science, Electrical
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

Applied Sciences IC3 - The typical base pay range for this role across Canada is CAD $83,600 - CAD $159,600 per year.

Find additional pay information here :

Microsoft will accept applications for the role until July 22, 2025.

Responsibilities

• Gain expertise in one or more subareas of research and understand applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and become familiar with the latest industry trends and applied technologies.
• Apply strategies provided by senior team members and incorporate state-of-the-art research. You’ll also develop an understanding of methods used in the community and gain expertise in a deeply specialized area.
• Reinforce a positive environment by applying best practices, you will also support mentorship and assist with the onboarding of entry-level team members. Additionally, you will maintain ties with an external network of peers and identify prospective talent, when asked.
• Document work in progress and share findings to promote innovation within a group. You’ll also learn and follow ethics and privacy policies while executing research processes or collecting information.

Embody our and

Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

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