Empleos en Costa Rica

Overview

MSAI organization plays a key role in Microsoft to build products that help boost Enterprise users’ productivity. We help users find relevant artifacts and get their daily jobs done in timely and efficient manner. MSAI is now responsible to deliver M365 Chat which is designed to help users find, summarize, act upon their work data in an interactive pattern.

As a Senior Applied Scientist specializing in ranking recommendation ML models, you will play a pivotal role in shaping the future of our ranking systems ( across different enterprise data like Emails, Documents, Calendar, Graph connectors etc). You will collaborate closely with cross-functional teams to design, implement, and evaluate state-of-the-art algorithms that power our cross entity ranking engine. Leveraging your expertise in machine learning, you will drive innovation and continuously improve the performance and relevance of our retrieval stack.

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.

Qualifications

Required Qualifications :

• Ph.D. or Master's degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning, information retrieval, or recommender systems.
• Experience in developing and deploying ranking recommendation ML models and LLMs in real-world applications.

M365CORE #MSAI

Responsibilities

Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect