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, computer vision, 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, Computer Vision, Artificial Intelligence, Statistics, Machine Learning or related areas (Ph.D. strongly preferred). 

• Outstanding expertise and research experience on statistical machine learning, Computer vision, and deep learning. 

• Familiarity with statistical inference, experimentation, and optimization. 

• 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 in coding, and ability to read and understand code, and passion for maintaining high quality for your team’s work is required. 

• 12+ years working experience in machine learning, deep learning, computer vision, etc. 

• 4+ 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.