Machine Learning Scientist
Redmond , Washington
October 22, 2017
In the Learning Systems Group of the Cloud and Information Services Lab (CISL), we research, design and develop state-of-the-art machine learning algorithms, tools and systems. Our mission is to contribute to the democratization of machine learning through research. To do so, we collaborate with Microsoft Research and the academic community. We actively engage in open source software development. Our work directly informs and shapes products such as Azure ML, Azure Data Lake and Microsoft R Server. You will be a part of an enthusiastic and experienced team that takes pride in creating state-of-the-art ML technology.

We are looking for people with a combination of:
•Fundamental ML knowledge: You either have authored papers in relevant top-tier venues (like ICML, NIPS, KDD, CVPR, ACL, etc.) and/or have read them for pleasure.
•Excellent development and implementation skills: You enjoy creating efficient, well-designed implementations of learning algorithms, finding their non-trivial applications, and conducting thorough evaluations.
•Drive to democratize ML: You are both amazed by and proud of the machine learning community and its accomplishments and at the same time disappointed by its localized impact thus far.
•You want to help make machine learning useful beyond the web companies across a wide array of application domains.

Responsibilities include:
•Identifying and solving hard, yet tractable problems to overcome to democratize machine learning.
•Contribute to the state-of-the-art in machine learning and share those advances through publications in top venues.
•Attract and mentor research interns.
•Help design and deliver both general and domain-specific machine learning algorithms and systems.
•Drive sound design and implementation through hands-on development.
•Work with partner teams on the integration of machine learning technology into their products.

Basic Qualifications:
•B.S. degree in Computer Science or IT related discipline.
•2+ years of machine learning experience
•2+ years’ experience in design and problem solving
•2+ years of Experience in one or more of the commonly used parallel/distributed systems/technologies (Apache Hadoop, Apache Spark, MPI, CUDA, Hive, Java, C++, C#).
•1+ Publications in major conferences and/or journals

Preferred Qualifications:
•Intense curiosity and willingness to question
•Love the next problem, the next experiment, the next partner
•Have a deep desire to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes
•Get excited by the challenge of hard technical problems
•Solve problems by always leading with deep passion and empathy for customers
•Strong bias for architecting for performance, scalability, usability, security, and reliability
•Good communicator with the ability to analyze and clearly articulate complex issues and technologies understandably and engagingly

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.

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 to

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