Microsoft is looking to advance artificial intelligence, machine learning, and model optimization in the context of Microsoft 365's core services, including Copilot, Outlook, Teams, SharePoint, and OneDrive, to empower every person and organization using M365 Core to achieve more.
Requirements
- 1+ years of experience training/fine tuning AI/ML models, preferably LLMs/SLMs (small language model).
- 1+ years' experience with productization or shipping ML and/or AI components at internet scale.
- 4+ years of experience with end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
- 2+ years of experience building Generative AI pipelines, e.g. with RAG (Retrieval augmented generation).
- Experience with deep learning and natural language processing.
- Experience with model optimization techniques.
- Experience with predictive analytics and statistical methodologies.
Responsibilities
- Conduct research and development to push the boundaries of model training, evaluation, and quality assessment for AI solutions.
- Post-train LLMs for enterprise scenarios M365 Copilot and on tenant data to enable task-specific agents and solutions within the enterprise ecosystem
- Collaborate with engineers and researchers to advance deep learning, natural language processing (NLP), multimodal models, and model optimization techniques.
- Measure, analyze, and report on model performance, quality, and impact using predictive analytics and statistical methodologies.
- Contribute to a culture of inclusion, respect, integrity, and accountability while fostering innovation and growth across teams.
- Develop and fine-tune large language models (LLMs) and task-specific agents that power intelligent features across the M365 ecosystem.
- Enhance productivity, collaboration, and security for enterprise customers.
Other
- Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Ability to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Must be willing to work in an agile and innovative team environment.
- Must have excellent communication and collaboration skills.
