Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate.

　　Microsoft Purview's suite of products includes data security, insider risk management, legal eDiscovery, communication compliance, and data lifecycle management, supported by Copilot for Security innovations. The Data and Applied Sciences Research team leads the way in pioneering AI and machine learning innovations, specializing in deep learning, NLP, (Natural Languare Processing) LLM/GPTs (large language models/generative pretrained transformers), graph models, AutoGPTs, chatbots, etc. Our research is dedicated to pushing the boundaries of technology, anticipating future needs, and seamlessly integrating AI (Artificial Intelligence) innovations into our product suite. We aim to deliver groundbreaking solutions that not only address current demands but also establish the groundwork for transformative advancements in data and applied sciences.

　　We are seeking an experienced Applied Data Research Engineer to join our dynamic team who is passionate about the latest AI advancements and is willing to take on variety of challenges - from coding to UX (User Experience) development, model building, prompt engineering, and metric definition.

　　Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

　　Responsibilities

　　Design, develop, and run machine learning systems.

　　Create and implement machine learning models and algorithms to solve business problems.

　　Develop, refine, and optimize AI-generated text prompts for accuracy, engagement, and relevance across various applications.

　　Design end-to-end ML experiments and tests on large, structured and unstructured data sets.

　　Collect, clean, and organize large datasets from multiple sources, perform large scale analysis and interpret complex data to identify patterns, trends, and insights that can inform business decisions. Collaborate with cross-functional teams to design and implement data-driven solutions.

　　Stay up to date with the latest trends and techniques in data science, machine learning, prompt engineering and automation.

　　Qualifications

　　Required Qualifications:

　　Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

　　OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field

　　OR equivalent experience.

　　Experience in problem solving and programming (Python or C#) with large data sets, using big data tools and scripting languages (SQL/PySpark/ KQL), as well as using ML (Machine Learning) and data analysis tool (Excel, Matlab, R, and/or PowerBI).

　　Experience in using statistical/analysis/ML tools, defining, and implementing intelligent solutions on data.

　　Experience with cross-group and interpersonal skills, with the ability to articulate solutions.

　　Other Requirements:

　　Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.Preferred Qualifications:

　　Experience with deep learning/LLMs (Large Language Models) applied to areas such as graph learning, IR (Information Retreival), NLP (Natural Language Processing), computer vision, etc., is preferred.

　　Experience in government regulations, business compliance, business processes in enterprises, legal discovery, etc.

　　Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $120,900 - $198,600 per year.

　　Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

　　#MSFTSecurity

　　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) .