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Office 365 is at the center of Microsoft’s cloud first, devices first strategy as it brings together cloud versions of our most trusted communications and collaboration products such as Exchange, SharePoint, Yammer, and Skype with the latest version of our desktop suite and mobile apps. Our customers depend on our services to run their organizations, whether that is a Fortune 500 company, a small business, a non-profit, or an educational institution. We are the Office extensibility team in Office Ecosystem to provide developers with the platform and APIs to further customize and enrich Office capabilities to meet customer emerging needs in today’s mobile-first and cloud-first world, as well as integrate Office capabilities into your own desktop or mobile applications with our Graph APIs. We are looking for a Senior Applied Scientist who can help us shape the future of intelligent agents at Microsoft. In this role, you will apply your expertise in data science and AI to deliver the right extensibility solutions for agents to interact with Office applications. Your work will influence product strategy and create performant extensibility platform for Agents to build on. You will collaborate across research, engineering, and product teams to integrate cutting-edge AI technologies that are ethical, inclusive, and impactful. Bring your growth mindset, customer empathy, and applied science skills to help us build the next generation of AI powered experiences.
Job Responsibility:
Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, etc
Build rapid AI solutions prototypes, take prototypes to production, and iterate deployed solutions to make them better
Champion EVAL driven development and bring the culture of AI-first engineering
Use data to identify gaps in AI quality, uncover insights, build PoC to show the impact
Work closely with partner teams to make bigger impact by leveraging each other’s work
Design, develop and integrate generative AI solutions using foundation models and more
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate 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 equivalent experience
3+ years of experience in AI/ML, predictive analytics, regression modelling, and research
4+ years of experience building, deploying, and supporting large scale applications and services
Experience with MLOps, Workflows, including CI/CD, and monitoring
Excellent problem solving, design, coding, and debugging skills
Strong cross-group collaboration skills
Ability to prioritize and handle multiple tasks completely and independently
Ability to generate clarity in ambiguous situations
Knowledge of Python and/or R for general coding as well as data analysis is highly valued
Experience with VBA or Office add-in development is a big plus
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Master'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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)