Senior Applied Scientist Job at Microsoft Corporation (Redmond)

Senior Applied Scientist

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

119800.00 - 234700.00 USD / Year

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Job Description:

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings. We research and develop algorithms, tools and libraries to enable AI-based information retrieval for unstructured data in Azure Data products. For example, we build market-leading vector search in multiple data products, for which innovate both on the research and engineering (e.g., see the DiskANN project). We are looking for expertise in one or more of information retrieval, NLP, representation learning, agentic memories, unstructured data processing, interaction between LLM and retrieval systems. We are looking for a senior applied scientist to join and shape the research and product roadmap for the team in this space.

Job Responsibility:

Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact
Takes initiative and drives activities such as technology transfers attempts, standards organizations, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups. May publish research to promote receiving new intellectual property for business impact
Independently works to create product impact. Identifies approach, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact a Microsoft product or service
Designs an approach to solve significant business problems shared by a senior team member. May publish research to promote receiving new intellectual property for product impact
Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs
Collaborates with and bridges the gap between researchers (in community across the company, Microsoft Research [MSR], or in their own organizations) and development teams
Begins to negotiate across teams to ensure cutting edge technology is being applied to products in a practical way that meets key business objectives
Develops an understanding of research approaches used across a group or organization to leverage (and not re-invent) solutions
Serves as an expert within product domain
Gains deep knowledge in a complex or highly ambiguous service, platform, or domain
Shares knowledge of changes in industry trends and advances in applied technologies with engineers and product teams to apply advanced concepts to identify product needs and drive action toward solutions
Fosters audience for the product based on understanding of the industry
Identifies possible machine learning formulations that map to the problem and selects the formulation that gives the optimal outcome (e.g., predicting the actual age or age group)
Leverages state-of-the-art algorithms that structures, analyzes, and uses data in products and platforms to train algorithms scalable for artificial intelligence solutions before deploying
Uses familiarity of machine learning frameworks (e.g., uses open source libraries) to train algorithms. Collaborates and helps less experienced team members through process
Embody our culture and values

Requirements:

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
Microsoft Cloud Background Check

Nice to have:

2+ years of experience in the one or more of the following areas: information retrieval, NLP, representation learning, agentic memories, unstructured data processing, interaction between LLM and retrieval systems
1+ years of experience in the one or more of the following areas: information retrieval, NLP, representation learning, agentic memories, unstructured data processing, interaction between LLM and retrieval systems
Publications in research conferences in these areas
Experience building and deploying scalable systems in industry

Additional Information:

Job Posted:
February 13, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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