Internship Opportunities for PhD Students: Machine Learning Microsoft
Redmond, WA

Job Description

At Microsoft our vision is to make machine learning and artificial intelligence on the cloud accessible to every enterprise, data scientist, developer, information worker, consumer, and device anywhere in the world. We empower organizations around the globe to utilize Microsoft machine learning and AI services and transform their products, services and processes with data and insights.

Do you want to work on a meaningful and impactful project and make a difference? Are you willing to learn from others and open to new ideas? Do you want to support others to succeed and operate in a highly-collaborative and global environment? If this sounds like you, Microsoft would like to invite you to come join us as you are, where you can find more than just a job.   Read on to learn more about opportunities and apply online!

Applications to these opportunities are considered for all available Ph.D. Machine Learning intern roles including the ones described below. To be considered for an internship, you need to be enrolled full-time as a student majoring in an applicable field.

PHD University Software Engineer- Machine Learning Intern

Microsoft's tools drive the widespread adoption of Machine Learning and AI on the cloud, by providing a highly productive experimentation and modeling environment to help teams of data scientists and data professionals be highly productive with AI. We design, build and operationalize data science tools and environments to create end-to-end solutions for high value customer & partner scenarios leveraging big data, scalable systems.

Minimum Qualifications

* Currently pursuing a PhD in Computer Science or related technical discipline
* Coding skills in C/C++, Java, Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
* Research experience in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.

Preferred Qualifications

* Experience in Object Oriented programming.
* Solid understanding of cloud development principles and patterns such as loose coupling, clean separation of services and scaled out parallel processing. Nice to have experience with Azure or AWS.
* A strong background in data structures, algorithms and analysis of algorithm complexity.
* Experience in architecting highly-available and scalable software systems is highly desired.
* Excellent communication skills and ability to collaborate with data scientists, software engineers and program managers in multiple organizations.
* Familiarity or ability to quickly ramp up with machine learning, deep learning, data mining, and/or data science.
* Strong intellectual curiosity and passion about learning new technologies.

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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

We are looking for Machine Learning Software Engineers who are passionate about building data science tools and environments that help our customers build intelligent applications.