Applied Scientist, Microsoft 365 Copilot/Large Language Models

Job Title: Applied Scientist - Microsoft 365 Copilot (AI & Large Language Models)

Overview:

The team is on the cutting edge of AI innovation, creating and delivering groundbreaking solutions for Microsoft 365 Copilot. We are integrating intelligent, natural language capabilities across all Microsoft 365 apps, empowering users with tools that boost their productivity and efficiency.

As an Applied Scientist, you'll play a critical role in shaping the future of AI-powered productivity by developing advanced features in search and recommendations within Microsoft 365 Copilot. You will have the opportunity to leverage your expertise in AI and ML to create innovative solutions that impact millions of enterprise users worldwide.

Responsibilities:

• Leverage cutting-edge techniques to fine-tune Large Language Models (LLMs) for enterprise users of Microsoft 365 Copilot.
• Perform offline evaluations of fine-tuned models, measuring relevance, clarity, perceived intelligence, groundedness, and more.
• Deploy and monitor fine-tuned models in live environments to ensure they deliver value to all enterprise users.
• Systematically document and analyze your fine-tuning approach, with the aim of publishing your work at leading AI conferences.
• Continuously look for opportunities to improve product quality, experimenting with new approaches and ideas.

Required Qualifications:

• Enrolled in an ongoing PhD program in Machine Learning, Natural Language Processing, or related fields, with a focus on Large Language Models.
• At least 2 years of experience in ML/NLP or a strong publication record.
• Python development
• Strong problem-solving and data analysis skills, with hands-on experience in developing or applying machine learning algorithms at scale.
• A growth mindset, and a passionate advocate for diversity and inclusion in the workplace.
• Deeply customer-centric with a focus on impactful product development.
• Excellent verbal and written communication skills, with the ability to explain complex concepts clearly to a wide audience.

Preferred Qualifications:

• Hands-on experience applying Language Models and Transformers to real-world problems.
• A robust publication record in top-tier AI conferences or journals.

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