Do you want to build the AI that builds the AI?                                                                                                                                             

Today is the world of “pervasive intelligence” where products and processes need to incorporate forms of Machine Learning and data-driven intelligence at a rapid pace. We need more machine learning models than data science teams can create and/or keep up with to meet this demand. This future demands that we make data scientists more productive by empowering anyone needing a quantitative prediction from data with the ability to create, evaluate and deploy ML Models.  

The Automated Machine Learning (AutoML) team is part of the Azure AI Platform and is leading the charter for “Democratizing AI for the Intelligent edge and Intelligent cloud”. 

AutoML team works on developing new meta-machine learning models to automate the construction and tuning of machine learning solutions. The goal of the team is to help expert Data Scientists, Enthusiasts and Business Users to build high quality, enterprise ready, machine learning models with the click of a button. Automated ML covers classification, regression, time series forecasting, natural language processing, computer vision -- and any machine learning task you can build to cover our customer’s needs.  

We are looking for a Principal Applied and Data Scientist Manager that specializes and has a passion for developing ML technologies. You will be part of this high-energy team and will contribute to and work alongside many talented colleagues on exciting ML problems and manage and mentor data and applied scientists. Experience having used machine learning or deep learning as a main skill on your job is required in this role, as the intuition associated with such experiences can help make our systems naturally easy to use for data scientists. We also believe in learning and growing on the job, so being passionate about the latest developments in ML and deep learning and a desire to learn is a requirement for this role, so as prior experience in managing team and growing junior people. 

Responsibilities

You will conduct research and development of Automated ML’s modeling capabilities. You will bring knowledge of cutting-edge and industry leading advances in areas such as statistical learning, deep learning, natural language processing, and collaborate with experts to further advance it.  

As a leader in this customer-obsessed team, you will engage with consumers of data science solutions, as well as data scientists whose favorite tools we aim to create. You will build the product that solves their data science and ML problems in their full complexity and translate your solutions to automatable methods. You will be responsible for managing a small team of data and applied scientists to drive customer-inspired innovations in ML. You and your team will produce impact by taking a holistic ownership of your features, frequently implementing core algorithms, evangelizing and representing them, and working with engineering teams to see them through into production.  

Qualifications

Masters or PhD in Computer Science, Artificial Intelligence, Statistics, Operations Research or related areas (Ph.D. preferred). 

• Outstanding expertise and research experience on statistical machine learning, natural language processing, and deep learning.
• Familiarity with statistical inference, experimentation,andoptimization. 
• Team player with excellent problem solving and data analysis skills. Effective communication skills, both verbal and written.
• Expertise in Python, R, Open-Source ML/Data science packages. Experience working with big data tools like Spark, HDI, Hadoop etc. and distributed computing frameworks is preferred.
• You can expect to work closely with the engineering team on implementation, hence prior experience incoding, and ability to read and understand code, and passion formaintaining high quality for your team’s work is required. 
• 10+ years working experience in machine learning, deep learning, natural language processing, etc.
• 2+ years of experience managing a team, mentoring team members, growing them, and delivering results as a team.

#AIPLATFORM#

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.

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 Cloud background check upon hire/transfer and every two years thereafter.