Microsoft · 19 hours ago
Applied Scientist for Frontier AI Copilot
Microsoft is building a frontier AI team within the Office Product Group to develop next-generation agentic AI systems for Office applications. As an Applied Scientist, you will design, train, evaluate, and deploy AI systems that enhance user collaboration and productivity across various tools and documents.
Artificial Intelligence (AI)Enterprise SoftwareCloud ComputingCyber SecuritySoftwareProfessional ServicesInformation TechnologyAgentic AIApplication Performance ManagementBusiness DevelopmentDevOpsInformation ServicesManagement Information SystemsNetwork Security
Responsibilities
Design and build agentic AI systems for Office apps (Excel, Word, PowerPoint, Outlook), including planning, tool use, memory, and long-horizon task execution
Develop agent-to-agent communication frameworks, enabling coordination, delegation, and verification across specialized agents
Advance low-resource code generation and transformation, including adapting models to domain-specific languages, formulas, and semi-structured representations
Fine-tune and post-train foundation models (SFT, preference optimization, RLHF/PO variants) for reliability, controllability, and product-grade behavior
Own evaluation and benchmarking: design task-level, system-level, and human-in-the-loop evals that reflect real Office workflows—not just academic metrics
Partner closely with engineers and PMs to turn research ideas into scalable, shippable features with clear UX and performance guarantees
Qualification
Required
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience
Preferred
Understanding of evaluation methodology for generative and agentic systems, including offline benchmarks and online experimentation
Hands-on experience with LLMs and agentic systems, including prompting, tool calling, memory, and orchestration
Experience with fine-tuning and post-training large models (SFT, preference learning, reward modeling, or RL-style approaches)
Ability to move comfortably between research prototypes and production systems
Communication skills and a product mindset—comfort owning ambiguous problems end-to-end
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
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