Principal Applied Science Manager

Are you looking for an opportunity to solve business-critical problems for Fortune-500 customers globally using cutting-edge AI and ML technology? Do you enjoy tackling technical challenges and producing innovative solutions to real-world problems? We are looking to hire a Principal Applied Science Manager to come join the AI Platform team in Microsoft. You will be working along the best AI/ML engineering, science, and product talent in the industry and engaging with the largest, most complex customers and ISVs in the world. Managerial skills related to attracting and hiring talent, growing people in their roles and growing the team, and thinking strategically to guide the team's work are important aspects of this position.Artificial Intelligence (AI) and Machine Learning (ML) is the explosive growth area in technology relevant to every business in every industry on the planet. In this golden age of AI, Microsoft is committed to bringing state-of-the-art technologies to customers in a responsible, secure, and scalable manner. The innovations in AI are helping enterprises fundamentally transform the face of business, and Microsoft is now a key player and a market leader in this industry.The AI Platform organization at Microsoft has the charter to bring the best of our AI & Research assets, tools and cloud infrastructure, rich data, and trusted position together, to deliver AI and ML services and solutions to customers. The mission of the AI Customer Experience Engineering (CxE) team within the AI Platform organization is to co-innovate, incubate, and improve our core AI platform from scenarios utilizing Azure AI Services like Azure OpenAI/GPT, and Azure ML. We do so by building and infusing AI technologies in real world solutions and extending the signals from real world patterns to building robust, scalable AI platform services and products. To achieve this, we are co-innovating AI and ML powered solutions (rich APIs, ML models and end to end services) with our strategic ISVs and Enterprise customers, leveraging many other Azure technologies, including Azure core services and Python/C# microservices.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.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.Required Qualifications * 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) people management experience.* 6+ years of practical experience in Data Science and Machine Learning techniques & tools, as evidenced by prior projects.* 4+ years of experience with software design and development using general purpose programming language (Python/Java/C# etc.) and knowledge of data pipelines.* 4+ years of experience working collaboratively with technical people outside your team (customers or engineers/PMs)Preferred Qualifications: * Experience with Natural Language Processing (NLP), OpenAI GPT(Generative Pre-trained Transformer models), Azure AI Services, and Machine Learning techniques.* 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. * Experience in dealing with ambiguity, and handling changes in project requirements.Applied Sciences M5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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-payMicrosoft will accept applications for the role until May 30, 2024.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.#AIPLATFORMWe are looking for an experienced team leader who can architect & design systems and solutions, stay abreast of rapidly evolving AI technologies, and utilize them in the systems being designed. Passion for solving customer problems in a collaborative manner, desire to work on leading-edge technologies.The role involves a fair amount of technical leadership and customer engagement in solving complex problems with the customer/partner. The ideal candidate is someone who is self-motivated to drive the creation of great enterprise solutions and who can collaborate and partner with other product teams, data scientists and engineers, and deal with ambiguity and complexity.Knowledge transfer to partners and community may be required, as well as presenting to customers or at public events.Embody our Culture and Values