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As a Research Engineer in the Power Platform Managed Transformation Team, you’ll play a pivotal role in delivering our mission: enabling organizations to adopt and scale AI agents with measurable business impact, unified governance, and actionable insights. You’ll collaborate with experts across governance, analytics, and platform services to drive innovation in Copilot and Copilot Studio scenarios, helping customers realize the full potential of AI-powered agents.
Job Responsibility:
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 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
Operate and support 24X7 usage of AI Models by customers
Document and share best practices across the organization
Supports mentorship by assisting with onboarding of research interns or other team members
Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques to solve complex problems
Embody our Culture and Values
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Equivalent experience
1+ years' hands on experience with AI/LLM (Large Language Modeling)
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Nice to have:
Experience working on successful applied research projects in industry environments
Experience programming with Python, Typescript, C# (any)
Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs)