Applied Scientist
Microsoft
Applied Scientist
Redmond, Washington, United States
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Overview
Our team is responsible for the core systems that power Microsoft 365 Copilot Chat 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, 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 Analyst Agent in Microsoft 365 Copilot showcase the breadth and depth of impact you’ll drive across the stack.
We’re hiring applied scientists 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 Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
- Experience with end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
- Experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc).
- Experience with customer/End-result/Metrics driven in design and development.
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 degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
- 2+ years experience in applying deep learning techniques and drive end-to-end AI product development (Chatbot, Search, Recommendation, NLP, Document Understanding, etc).
- 2+ years experience with customer/End-result/Metrics driven in design and development.
Applied Sciences IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until 10/21/2025.
#M365Core
Responsibilities
- As part of the team, you would be driving projects through their entire life-cycle from idea creation through implementation, experimentation and finally shipping to our users. We are looking for strong, motivated, results-oriented applied scientists and software engineers to help drive the design and implementation of the next wave of improvements of products for M365 Copilot and Microsoft.
- You would be working with truly big data by training and extending the capability of deep learning models to provide compelling experiences across our products. Projects can span across modeling, evaluation, model optimization, large scale experimentation, and shipment of cutting edge technology for millions of users.