Microsoft Senior Applied Scientist 

United States, Washington 

264938557

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

n Applied Scientiston 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

This is an exciting time to join Power Apps where we are rebuilding the platform with Copilot first experiences. We aim to build

Required/Minimum Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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.

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

• 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)
  • OR equivalent experience.
• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

• Experience working on successful applied research projects in industry environments

• programmingwithPython, Typescript, C#(any)is preferred

• An applicant with the following skills or relevant experience would 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

applied scientistsengineers partnering regularly with Product Managers and Designersnovel 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.

• Lead 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 support 24X7 usage of AI Models by customers

• Document and share best practices across the organization.

• Supports mentorship byassisting

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

• Embody ourand