Microsoft · 1 day ago
Senior Applied Scientists And Principal Applied Scientists (multiple positions)
Mountain View, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$120K/yr - $235K/yr
4+ years expMicrosoft is on a mission to reinvent productivity with AI, and they are seeking Senior Applied Scientists and Principal Applied Scientists to lead the development of AI-powered calendar experiences. The role involves driving innovation in Copilot solutions for the calendar ecosystem and building intelligent AI-forward calendar features.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Innovation with LLMs: Stay at the cutting edge of NLP (natural language processing) and large language models. Apply techniques such as prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) to enhance Copilot’s capabilities. You will explore new model architectures and external knowledge integration to push the boundaries of what Copilot can do in the calendar domain
Lead AI Feature Development: Lead the design and development of advanced ML/NLP models to power Copilot features in Outlook Calendar and Microsoft Teams. Leverage large language models and diverse data (emails, meetings, documents, chat transcripts etc) to create intelligent solutions for time management
Modeling & Personalization: Architect and refine machine learning models (supervised and unsupervised) that optimize the relevance and personalization of calendar features
Experimentation & Evaluation: Continuously iterate on models using real user feedback and telemetry, ensuring each new version of the Copilot delivers higher precision, recall and better user satisfaction
Product Integration: Work closely with engineering and product teams to integrate your AI models into Calendar. Ensure solutions are production-ready – meeting standards for scalability, security, compliance, and real-time performance in a cloud environment. You will translate broad product needs into robust AI services that operate reliably at Microsoft scale (millions of users)
Technical Leadership & Mentorship: Provide technical leadership within the team and across partner groups. Mentor applied scientists and machine learning engineers, fostering best practices in research, experimentation, and coding. Guide technical initiatives and ensure scientific rigor in how the team builds and evaluates AI solutions. Champion a culture of collaboration, learning, and rapid innovation to continuously improve our AI-powered productivity features
Team Building: Set a bold, customer-centric mission that galvanizes the team and clarifies priorities. Assemble complementary skill sets, cultivate candid collaboration, celebrate innovation, clear roadblocks, amplify wins, and hold a high bar for accountability—turning collective momentum into outsized, repeatable results
Provide expertise in building and scaling relevance and ranking systems, including experience with retrieval, embeddings, and evaluation methodologies tailored to LLM-powered applications
Demonstrate leadership in developing AI/ML solutions for productivity or assistant-like experiences, with a strong track record of managing cross-functional collaborations and driving measurable impact through data-driven product iteration
Qualification
Required
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate 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 equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Preferred
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
Experience developing and deploying large language models (LLMs), including agentic systems, supervised fine-tuning, and Reinforcement Learning (RLHF)
Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering
Experience with modern LLM evaluation techniques, including LLM-as-a-Judge, agentic evaluations, and RAG assessments
Experience with MLOps practices, including model versioning, automated testing, monitoring, and CI/CD for machine learning
Experience with a top-tier scientific venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, KDD)
Ability to translate complex ML concepts into business value and communicate technical insights to non-technical stakeholders
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
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)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
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
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
Morningstar.com
2026-01-16
Company data provided by crunchbase