Microsoft AI Residency Program

Microsoft AI Residency Program

About

2020 Applications period is now closed. Candidates selected for interviews will be contacted directly by someone from Microsoft recruiting by mid February.

Gain new AI skills and experience while tackling real-world challenges

In September 2018 we welcomed our first cohort of residents into the program and are excited about the future impact on the fields of AI and machine learning. While the second class of residents are currently here and learning new skills we are eager to meet our 2020/2021 class!

Through our Microsoft AI Residency program you will have the opportunity to work alongside prominent researchers and engineers in either Redmond, WA, or Cambridge, UK. You will build your skills and get hands-on experience working on practical AI and machine learning problems that help tackle some of society’s toughest challenges.

We are searching for a diverse range of researchers, engineers, and applied scientists with unique perspectives, including candidates who may not have a traditional background in AI, but who are passionate about working on AI technologies to solve real-world challenges.

In this year-long program, selected residents will:

  • Gain real-world, hands-on industry experience while working with Microsoft researchers, engineers, and product teams.
  • Learn how to develop and deploy AI techniques and solutions at scale across a range of areas such as healthcare, scientific discovery, productivity, and gaming.
  • Benefit from a rich program of training and mentorship.
  • Be part of a vibrant AI and machine learning community in Cambridge, UK, or Redmond, WA.
  • Receive competitive compensation and be encouraged to apply for a regular position at Microsoft at the end the residency program.

We look forward to working with candidates that can carry the work forward into the future.

Eligibility criteria

  • BSc, MSc, and PhD graduates with substantial coursework in, but not limited to: computer science, electrical engineering, data science, mathematics, physics, economics, human-computer interaction, and computational biology.
  • Experience developing in at least one high-level language such as Python or C/C++/C#.
  • Experience with machine learning techniques or deep learning frameworks is desirable.
  • Enthusiasm to move into the field is essential.
  • Ability to work in a highly collaborative and interdisciplinary environment.
  • Strong communication skills.

FAQ

Who is eligible to apply?

  • Current Microsoft employees are not eligible for this program.
  • If you are currently enrolled in a full time, relevant, degree program at an accredited University/College and will have your most recent degree completed by the start of the AI Residency, we encourage you to apply.
  • If you completed your degree and have been out of school for some time, you are eligible to apply. We will consider various work experiences.
  • Please refer to the eligibility requirements available on the job description for the location you are applying to for a full list of criteria.

What is Microsoft looking for in a candidate for the Microsoft AI Residency program?

The ideal candidate will have a passion for leveraging their expertise from computer science work and/or other technical fields to solve real-world challenges by applying artificial intelligence (AI). We are looking for candidates with substantial coursework in, but not limited to: computer science, electrical engineering, data science, mathematics, physics, economics, human-computer interaction, and computational biology. Experience developing in at least one high-level language such as Python or C/C++/C# or experience with machine learning techniques or deep learning frameworks is desirable.

How do I apply and what does the application timeline look like?

Interested and qualified candidates should apply using the application links on the Microsoft careers page. Those links are at the top of our About section for your ease of reference. Please review each job description based on location, and if you feel you meet the required qualifications, we encourage you to apply. While we reserve the right to adjust the timeline below based on the hiring needs of the company and program, we anticipate the following:

  • Applications open: November 2019
  • Application deadline: January 31, 2020
  • Interview period: February – Mid-March 2020
  • Notification of admission: April 2020
  • Residency program: September 2020 – August 2021

What documents do I need to prepare in order to apply?

You will need to prepare and upload a cover letter and curriculum vitae (CV) in one document. Please follow the detailed instructions when applying for each of the residencies at the Cambridge and Redmond Labs.

What makes a good cover letter?

A cover letter is a required part of the application for this program. Please save it with your resume as one document in your submission. Your cover letter must include your statement on why you are interested in the Microsoft AI Residency program and what you want to get out of the residency if selected.

What benefits will I receive during the program?

The resident program offers benefits designed to give you a world-class experience. You will receive competitive pay and custom AI training from top researchers and engineers. Additional benefits are offered pending the country of employment. For more information on benefits, you can refer to the job description for a longer list of highlighted benefits.

Where is the residency program based?

The program is based out of two labs; Redmond, Washington, USA, and Cambridge, United Kingdom.

Will Microsoft sponsor my work authorization?

Where required, Microsoft will support the immigration process for eligible applicants. We will determine the best available visa/work authorization option for candidates when a candidate is selected to advance in the interview process. For those seeking employment in the USA, please note that applying for an H1-B is not an option as this is a fixed-term role. However, if a candidate already has their H1-B and advances in the process we will work to evaluate if the visa is eligible for company to company transfer. For those seeking employment in the UK, please be advised that you will need to have current work authorization in the EU to be considered.

What can I expect at the completion of the residency program?

Residents will be encouraged to apply for a full time, relevant position at Microsoft at the end of their residency.

Will I be able to publish my work as a resident?

Yes, Microsoft strongly encourages you to work with your project mentors to publish your Residency work to top tier venues and conferences. You can review accepted publications from past residents.

What does the support system look like?

As a resident, you will experience an open-door environment designed to encourage you to set up a meeting with anyone at Microsoft. We encourage you to explore all areas of Microsoft while here and network through the company as desired. From a formal project side, you will be assigned to a mentor/project lead who will be available to you as you work through your professional growth and project milestones. Bottom line, we want you to feel supported while you are here with us!

Have questions not covered in the FAQs?

Feel free to send your questions to AIResidency@microsoft.com.

Please note the alias above cannot assist you in writing a resume or advise on specific courses or experiences needed. You can refer to the job description and if you feel you meet the basic requirements, we encourage you to apply. Also of note, this FAQ alias can not provide application updates, immigration and visa evaluations or accept referrals.

Publications

News

Inside the Microsoft AI Residency Program with Dr. Brian Broll

Dr. Brian Broll In 2018, Microsoft launched the Microsoft AI Residency Program, a year-long, expanded research experience designed to give recent graduates in a variety of fields the opportunity to work alongside prominent researchers at MSR on cutting edge AI technologies to solve real-world problems.

Microsoft Research Podcast | September 11, 2019

AI Resident Blog