Applied Scientist
Microsoft Corporation
The **M365 Copilot RAG team** is building the next generation of intelligent assistant systems to empower enterprise users with advanced productivity capabilities. We are hiring multiple Applied Scientists to join our efforts in enterprise-grade search, agentic RAG and multi-agent orchestration. As **Applied Scientist** , you will directly contribute to the core capabilities of Copilot and impact how millions of users interact with their enterprise data.
Our team is composed of world-class scientists and engineers who are passionate about turning cutting-edge research into high-quality, scalable products and services. We welcome junior and talented candidates to our team!
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.
**Responsibilities**
+ Develop sub-agents for search, find, and related tasks over complex enterprise private data with diverse types and heavy schema.
+ Optimize core algorithms for RAG systems, including retrieval, ranking, and grounding extraction.
+ Explore novel task decomposition and execution strategies within multi-agent collaboration frameworks.
+ Analyze offline and online performance signals to identify optimization opportunities and improve user experience and system efficiency.
+ Collaborate closely with product and platform teams to deliver robust, scalable solutions.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant experience (e.g., statistics, predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
+ OR equivalent experience.
**Preferred Qualifications:**
+ Good algorithmic and modeling skills, with solid problem-solving capabilities.
+ Experience in NLP, RL, search, or recommendation systems is oreferred.
+ Familiarity with complex document understanding, RAG frameworks, and multi-agent orchestration is a strong plus.
+ Excellent communication and collaboration skills.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
Por favor confirme su dirección de correo electrónico: Send Email