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The Power platform (part of Business Application Platform) aims to be the platform of choice for building components that permit high productivity, intelligent and no-code nextgen application development. The platform empowers customers to easily customize, develop, and deploy business applications that work online and offline, for consumption on mobile devices and the web,  without the need to write code. We are rewriting future of no code\low code platform by integrate cutting edge AI technology in product for “low code\no-code” app developers to build app without compromising on extensibility for professional developer or data scientists. The platform will power the business applications, and be the extensibility story for all of Office 365.

We looking for a highly motivated and experienced scientist with expertise in machine learning. We are hiring a  **Principal Applied Scientist**  in PowerApps 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 work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage Inclusivity in the belief that it leads to both great workplaces and great products.

This is an exciting time to join our group and work on something highly strategic to Microsoft. Power Apps platform is a rapidly growing business at Microsoft. Dynamics 365 CE Apps (OOB 1st Party or ISV/Customer developed) are all powered by Power Platform that allows rapidly building (no-code to low-code) full-fledged applications via its range of customizations and extensions capabilities – from the Server tiers to the Client. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.

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

+ Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.  Drive innovation by staying current with the latest research, technologies, and best practices in AI/ML, and bring these into the organization

+ Advance research agenda through one or more projects, fine tuning models, yielding new algorithms, prototypes, theories, tools, methods, or collections of data.

+ Lead and mentor team of applied scientists,provide technical guidance, foster a collaborative and innovative work environment.

+ Drive the team's strategic vision and align it with the overall company objectives, influencing roadmaps and long-term vision.

+ Bring research projects to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems.

+ Collaborate with engineering teams to productionize models, build scalable, robust pipelines and provide support for in production AI Models

+ Collaborate with stakeholders to define project goals, success criteria, and deliverables.  Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.

Qualifications

Required Qualifications

+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 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 5+ years related experience (e.g., statistics, predictive analytics, research)

+ OR equivalent experience.

+ 2+ years experience with transformer-based models (e.g., GPT, Llama).

+ 6+ years experience with Python and relevant ML libraries (e.g., PyTorch).

+ 2+ years experience in coding and design, specifically in the development of AI models for scaled production services.

+ 2+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model 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/Additional Qualifications

+ Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research) or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.

+  8+ years experience conducting research as part of a research program (in academic or industry settings).

+ 6+ years experience in coding and design, specifically in the development of AI models for scaled production services.

+ 6+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

+ Deep expertise in one or more of the following: supervised learning, deep learning, natural language processing, reinforcement learning, computer vision, time series forecasting, or causal inference.

+ Experience programming with Python, Typescript, C# (any) is preferred

+ Relevant experience in Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) or Vision, Audio, and Multimodal Foundation Models or gentic Systems or Prompt Tuning or Natural Language Processing or Human-AI Interaction

+ Experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.

+ 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 IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 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 July 31st, 2025.

\#BICJobs #AI

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .