Microsoft Applied Scientist II 

United States, Washington 

110214527

The Powerbuild delightful appspowerful Azure technologies in the hands ofdevelopers, enabling them to create solutionsthat arelow codewithout the need for subscriptionsPowerApps is part ofPower Platformwhich alsoincludes Power Automate, Copilot Studio AgentsPower Virtualwhich work together to help users analyze data, automate processes, and build custom applications tailored to

the Power,in the AI Era. Our goal is to make app building easy,that delight app makersStudio framework empowers developersrequirements,data model,User Interface, define logic, tests, deploy andthe app in productionAI at every step of the app development process.

on the team, you willbe responsible forconducting applied researchreal world problems with building appsdesign andtechnical architectureto end lifecycle of AI/ML solutionsCopilot features in production.an agile, data-and fast-paced environment, whereengineers and scientistsare empowered to innovate and take ideas from concept to scale

. We aim to buildsolutions for building apps and simplifying development processes.to work onchallenging problemin the App Developmentspace which will revolutionize the industry

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers arebetter served

Required/Minimum 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.

Other Requirements

• to meet Microsoft, customer and/or government security screening requirementsarerequiredfor this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications

• Bachelor's Degree in Statistics, Econometrics, 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, 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
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

• Experience working on successful applied research projects in industry environments

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

• An applicant with the following skillsor relevant experiencewould be a plus:

• Applications of Foundation Models,Domain Adaptation of Foundation Models (e.g.fine-tuning LLMs/SLMs)

• Vision, Audio, and Multimodal Foundation Models

• Agentic Systems

• Prompt Tuning

• Natural Language Processing

• Human-AI Interaction

Product Managers and Designersyou would get exciting opportunities to work onnovel experiences &cutting edgetechnologies across a variety of platforms to build the next generation applicationexperiences.

• Conduct applied research to develop innovative AI and machine learning models that address real-world challenges.

• end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.

• Create and adapt novel training and fine-tuning algorithms for language models.

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

• Operate and support24X7usage of AI Models bycustomers

• Document and share best practices across the organization.

• up-to-datewith the latest advancements in AI and machinelearning, andapply new techniques to solve complex problems.

• Embody ourand