Overview Applied Scientist II - PowerPoint ML Team, Office Product Group **Are you an applied scientist with a passion for applying state-of-the-art AI innovations to augment human creativity? Join us as we grow the PowerPoint ML team, where we are revolutionizing presentation creation, editing, and visual creation within PowerPoint, M365 Copilot App, Microsoft Designer, Photos, and M365 Copilot. In addition to scientists building core models, we also welcome candidates with machine learning engineering backgrounds—especially those experienced in deploying large language models (LLMs), building orchestration pipelines, RL (GPRO etc), and integrating agentic workflows into production systems  **Located in Mountain View, California and Redmond, WA, we're pushing the limits of machine learning to help create information workers use to create the world’s best designs.As an Applied Scientist II in the PowerPoint ML team, you will work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will have the opportunity to develop cutting-edge creation/editing skills/models/agent for presentation and visual designs, and build top tier presentation and visual creation experience in PowerPoint, M365 Copilot, and M365 Copilot App. This role is crucial for driving innovation and creating modern, inclusive, and intelligent presentation and design experiences used by millions worldwide. 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- You will work on machine learning (ML) projects across various domains like natural language processing (NLP), Vision and harness LLMs, VLMs, and agentic models to deliver visual AI solutions for our customers.
• You will get the opportunity of working in a fast-paced environment developing algorithms and techniques leveraging text, and images for analyzing and transforming content to build solutions that have the potential to transform people’s lives.
• You will work with engineering partner teams on the model integration/flight/maintenance.
• You may contribute to building scalable LLM deployment pipelines, integrating orchestration frameworks, and enabling agent-based user experiences in production environments.

Qualifications:

Required Qualifications: - Bachelor's Degree in Statistics, 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, 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, Computer Science, Electrical or Computer Engineering, or related field
• OR equivalent experience.

Preferred Qualifications:

• • Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)OR Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
• 2+ years of experience demonstrating proficiency in Python and relevant Machine Learning (ML) libraries (e.g., Py Torch).
• 2+ years of experience with LLM/VLM, including but not limited to: GPT, Claude, gemini, Deepseek-R1, Qwen, GPT OSS, Kimi-K2, Grok.
• Experience either shipping applied research to production with coding and AI model development skills, OR working with LLM deployment, orchestration frameworks, or agent systems.
• Experience in coding and design, specifically in the development of AI models for scaled production services.
• Experience in evaluating ML solutions and production A/B flights.
• Experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
• Familiarity with orchestration tools and prompt/agent runtime design for LLM-based applications.
• Experience demonstrating leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
• Experience demonstrating a growth mindset, customer obsession, and Inclusion.
• Demonstrated passion for product impact, including state-of-the-art tools, technologies, and methods being used in the research community and product groups.

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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.