Microsoft
Senior Applied Scientist
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Senior Applied Scientist
Senior Applied Scientist – Copilot Tuning
Overview
Copilot Tuning is a new product focused on fine-tuning large language models (LLMs) using tenant data to enable task-specific agentic solutions. This mission-driven nimble team is at the forefront of advancing LLM capabilities in Microsoft 365 Copilot—transforming generative AI experiences in the enterprise.
We’re seeking Senior Applied Scientists (Multiple Positions) to design, develop, and deploy leading-edge AI products. Ideal candidates will combine strong research & development expertise with a passion for solving complex challenges in cloud and machine learning, while working hands-on with customer data to generalise impactful insights. You will thrive in a fast-paced, collaborative environment, delivering innovative solutions at scale under Microsoft’s mission to empower individuals and organisations.
As a team that values innovation-driven collaboration, we foster a culture built on respect, integrity, and accountability. Together, we drive breakthrough work that democratises cutting-edge AI for impact.
Key Responsibilities
- Design, build, test, and deploy cloud-based AI applications with high performance and scalability
- Architect and develop LLM-based agentic systems, ensuring seamless integration with enterprise workloads in M365 Copilot
- Partner with customer facing teams to diagnose and resolve pain points, informing direction for large-scale LLM tuning
- Document and share research findings (including experiments, findings, and solutions) across interdisciplinary teams
- Mentor junior and mid-level engineers, fostering growth within our collaborative studio
Minimum Required Qualifications
You’ll bring foundational expertise in research-driven AI development to this role. We require one of the following combinations:
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| Option | Degree | Years of Experience (Required) | Experience Scope |
|---|---|---|---|
| 1 | Bachelor’s in Statistics, Econometrics, Computer Science, EE/CE, or related field | 4+ years in related domains: predictive modelling, LLM research, cloud systems | Applicable to AI, ML, large-scale computing |
| 2 | Master’s in same fields | 3+ years | Research-driven LLMOffset |
| 3 | Doctorate in same fields | 1+ year | Publications, experiments, or applied R+D |
OR Demonstrated equivalent experience through projects, patents, or contributions in AI/ML fields.
Essential Requirements for Security & Compliance
Selected candidates must:
- Pass Microsoft’s Cloud Background Check:
- Upfront at hiring/transfer
- Renewal every two years
- Comply with government security screenings, including Microsoft’s strict compliance policies
Preferred Qualifications
Candidates with forward-looking insights akin to the missions below are a competitive fit:
Academic/Research Track
- Master’s degree in core disciplines + 6+ years experience in one or more:
- Quality academic publications (patents, research papers, libraries)
- Presentations at international conferences or invited keynote roles in a relevant field
- 3+ years leading or contributing to research programs (primarily via university, corporate R&D, or industry partnerships)
Development & Deployment
- 1+ years experience with:
- Deploying production-grade AI systems
- Full-stack delivery pipelines: from ideation and rapid prototyping through to self-service deployment to scale
- Hands-on experience demonstrating ethical AI principles in enterprise environments
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**Who We Are Looking For”
- Blueprint thinkers with the ability to explore edge cases in model architectures
- An early adopter of emerging Can we do this with LLMs? and solutions for structure and inference based on data freedom
- A strong communicator, not just with charts and graphs, but with clear and persuasive demos in business terms
- Expertise in working directly with LLMs in Azure cloud environments
- Excursion-minded mindset: ready to rapidly pivot based on customer needs
Diversity, Equity & Inclusion at Microsoft
M365 Copilot aims to serve everyone. Your unique perspective is valuable to our deduction-solving community. Microsoft is an equal opportunity employer. We are committed to creating a positive work environment that values and leverages the diverse backgrounds and experiences of our employees. We do not discriminate on the basis of any protected characteristic (age, ancestry, citizenship, family care commitment, gender identity or expression, genetic information, immigration status, marital status, medical information, national origin, physical/mental disability, pregnancy, race, religion, sex/including pregnancy, sexual orientation, protected veteran/military status, or any other classification protected by applicable law).
Questions or requests for accommodations during the application process? Visit our help centre for accommodations and disabilities support.
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