Microsoft · 9 hours ago
Principal Applied Science Manager
Redmond, WA
Full-time
Onsite
Senior Level, Lead/Staff
$163K/yr - $296K/yr
6+ years expMicrosoft is on a mission to reinvent productivity with AI, and they are seeking a Principal Applied Science Manager to lead the applied science team for AI-driven calendar experiences. The role involves driving innovation with large language models, overseeing the development of advanced ML/NLP models, and fostering a high-performing team culture.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Lead innovation with large language models (LLMs), staying at the forefront of NLP advancements including prompt engineering, fine-tuning, and retrieval‑augmented generation (RAG)
Drive the design and delivery of advanced ML/NLP models powering Copilot experiences in Outlook Calendar and Microsoft Teams
Leverage multi‑modal signals (email, meetings, documents, chat) to build intelligent, context‑aware time and productivity solutions
Architect and evolve supervised and unsupervised models that improve personalization, relevance, and contextual understanding across calendar scenarios
Own experimentation and evaluation strategy using telemetry, user feedback, and A/B testing to continuously improve quality, robustness, and customer satisfaction
Partner closely with engineering and product teams to integrate models into production at enterprise scale, ensuring performance, security, compliance, and reliability
Provide technical and scientific leadership in retrieval, embeddings, ranking systems, and evaluation for LLM‑powered applications.Build, mentor, and lead high‑performing applied science teams, fostering strong experimentation discipline, collaboration, and innovation
Drive cross‑functional alignment and execution, translating customer‑centric vision into measurable, durable product impact while embodying Microsoft’s culture and values
Qualification
Required
Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 10+ years of relevant experience (e.g., statistics, predictive analytics, research)
OR Master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 6+ years of relevant experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 3+ years of relevant experience
OR Equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Preferred
Master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 10+ years of relevant experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 6+ years of relevant experience
OR Equivalent experience
5+ years of experience producing scientific publications, such as patents or peer-reviewed papers
Hands-on experience developing and deploying large language models (LLMs), including agentic systems, supervised fine-tuning, and reinforcement learning (e.g., RLHF)
Experience designing, implementing, and optimizing retrieval-augmented generation (RAG) pipelines and advanced context-engineering strategies
Proficiency with modern LLM evaluation methods, including LLM-as-a-Judge, agentic evaluations, and RAG-quality assessments
Experience with MLOps best practices, including model versioning, automated testing, monitoring, and CI/CD for machine-learning systems
Experience publishing at top-tier scientific venues, such as NeurIPS, ICML, ICLR, ACL, EMNLP, or KDD
Solid ability to translate complex ML concepts into business value and communicate technical insights effectively to non-technical stakeholders
Benefits
Certain roles may be eligible for benefits and other compensation.
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
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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
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
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