Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI features for Microsoft 365 Copilot, enhancing productivity with Large Language Models.
- Company: Join Microsoft, a leader in tech innovation, shaping the future of AI solutions.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, impacting millions while working in a diverse, inclusive culture.
- Qualifications: Pursuing a PhD in Machine Learning or related fields, with strong ML/NLP experience and Python skills.
- Other info: Opportunity to publish your work at leading AI conferences and collaborate with top experts.
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.
Applied Scientist, Microsoft 365 Copilot/Large Language Models employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist, Microsoft 365 Copilot/Large Language Models
✨Tip Number 1
Familiarise yourself with the latest advancements in Large Language Models and AI technologies. Follow relevant research papers, attend webinars, and engage with online communities to stay updated on trends that could be beneficial for your role at Microsoft 365 Copilot.
✨Tip Number 2
Network with professionals already working in AI and ML fields, especially those involved with Microsoft products. Attend industry conferences or local meetups to make connections that could provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your hands-on experience with Python and machine learning algorithms during interviews. Be ready to share specific examples of projects where you applied these skills, particularly in relation to LLMs and NLP.
✨Tip Number 4
Demonstrate your passion for diversity and inclusion in your conversations. Share how you have contributed to creating inclusive environments in your previous roles or academic settings, as this aligns with the values of the team at Microsoft 365 Copilot.
We think you need these skills to ace Applied Scientist, Microsoft 365 Copilot/Large Language Models
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and Natural Language Processing. Emphasise any projects or research related to Large Language Models, as this is crucial for the Applied Scientist role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the responsibilities of the position. Mention specific techniques or projects you've worked on that relate to fine-tuning LLMs and improving product quality.
Showcase Your Publications: If you have a strong publication record, make sure to include it in your application. Highlight any papers presented at top-tier AI conferences, as this will demonstrate your expertise and commitment to the field.
Demonstrate Communication Skills: Since excellent verbal and written communication skills are essential, consider including examples of how you've explained complex concepts to diverse audiences in your application materials. This could be through teaching, presentations, or collaborative projects.
How to prepare for a job interview at Experis
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and natural language processing in detail. Highlight specific projects where you've fine-tuned large language models, and be ready to explain the techniques you used and the outcomes achieved.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Practice articulating your thought process when tackling complex problems, especially those related to AI and ML. This will show your analytical skills and how you approach real-world issues.
✨Communicate Clearly
Since the role requires explaining complex concepts to a diverse audience, practice simplifying your explanations. Use clear, concise language and avoid jargon unless necessary. This will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Emphasise Your Growth Mindset
Share examples of how you've embraced challenges and learned from failures in your previous work. Highlight your commitment to continuous improvement and how you advocate for diversity and inclusion in your projects, aligning with the company's values.
