Applied Sciences

Join the Microsoft Turing Team and help shape the future of enterprise productivity through cutting-edge AI. We are responsible for the core systems that power the Microsoft 365 Chat Copilot for enterprise - a groundbreaking AI assistant used by hundreds of millions of users around the world. As an Applied Scientist II (M365 Copilot-Turing Team) on our team, you’ll work side by side with world-class scientists and developers to bring large language models (LLMs) to life, at enterprise scale, leveraging your skills and experience to help build the platform that powers Microsoft’s enterprise Copilots.

As a fast-growing team with a wide breadth of opportunities, projects are assigned based on your particular interests, experiences, skillset and background. These projects can span across areas such as: building the core orchestration for M365 Copilot, developing advanced capabilities such as code and image generation, enabling multimodal interactions, or pioneering AI-driven computer use and shipping of cutting-edge technology for 100s of millions of users.

We’re not just training and applying models - we’re building intelligent systems that run them. This is your chance to engineer the critical infrastructure, platforms, and features that power the Microsoft Copilot - with a direct impact on how the world works.
As an Applied Scientist II (M365 Copilot-Turing Team), you will:

- 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 models

- Build and deliver model-driven features from concept to production - spanning model development, evaluation, metrics, and A/B testing

- Evolve our orchestrator to reason more effectively, respond faster, and support new capabilities in multi-modality, agent-based systems, and beyond

We’re hiring applied scientists who are passionate about deep learning, NLP (Natural Language Processing), 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.

• You will master an area of research and understand any applicable techniques. You’ll also contribute to tracking changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
• You will review business and product requirement, incorporate research, and contribute to problem solving. You will also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
• You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
• You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

Required 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 field
  • OR equivalent experience.
• 2+ years of experience in applied ML, NLP, or deep learning.
• 2+ years of experience in machine learning engineering, including model…