all-about-ai-residency

List of AI Residency Programs

2019

Koninklijke Bibliotheek Researcher-in-residence [Link]
Google Residency [Link]
OpenAI 2019 Winter Scholars [Link]. Application Deadline: Nov 16, 2018.
2019 Spring NAVER Clova AI Research Global Residency Program [Link]. Application Deadline: Oct 31, 2018, Extended to: Nov 15, 2018.
Nvidia AI Research Residency [Link]
Intel AI Residency [Link]
IBM AI Residency Program [Link]
Microsoft AI Residency Program [Link]. Application Deadline: Jan 31, 2019.
Uber AI Residency Program [Link]. Application Deadline: Jan 13, 2019.
Shell AI Residency Program [Link].
Facebook AI Residency Program [Link]. Application Deadline: Monday, January 28, 2019 at 5:00 pm PST.
PAI Fellowship Program [Link]
Google AI residency [Link]
PFN AI Residency [Link]
Clova AI Residency [Link]
Open AI Fellow [Link]

How to prepare

Google Brain Residency [Link]
Jeff Dean's talk on residency [Link]
Microsoft AI Residency [Glassdoor-Link,[AI- resident interview Link 2]
Google Engineering Residency [Glassdoor-Link,AI residency - Link]
Career Advice - Job in AI [Link]

2019 AI Residency Thread [Link]
Google AI Residency Program: [Link 1,2019-discussion Link],[2018 - onsite discussion], [Link 2],
Microsoft AI Residency Program [Link 1], [2019 Discussion Link],[2018 Discussion],[2018 heard back]
Facebook AI Residency Program [Link 1], [Link 2], [Link 3], [Link4], [2018-Discussion Link]
Uber AI Residency Program: [Link],[Hackerrank test 2019], [2019 - Response]
IBM AI Residency Program [Link]
Google Brain AI Residency [Link - 2017 results],[2015 - Link Results]
If rejected [Link]

Quora

Prepare for the Google AI Residency Program [Link]
Profile for Google AI Program [Link]

Blog

2018

Programs

Google AI Residency Program [Link].
Microsoft AI Residency Program [Link]
Microsoft NERD Artificial Intelligence Program [Link]
Facebook AI Residency Program [Link]
Uber AI Residency [Link]
PFN (Preferred Networks) AI residency program [Link]
Fall NAVER Clova AI Research Global Residency Program [Link]
Machine Learning Fellow [Link]
OpenAI Fellow Fall 2018 [Link]

Additional information

OpenAI 2019 Winter Scholars

Deadline: 11/16/2018
Duration: 3 months full-time; January 7, 2019 -March 29, 2019
Location: This is a remote program. OpenAI can offer candidates in the Bay Area a desk at their office.
Requirements:
Applicant is “a member of an underrepresented group in science and engineering.”
Applicant should have US work authorization and be located in the United States for the duration of the program; OpenAI gives preference to applicants who can be physically present during the program.
Applicants must understand these reference articles on Calculus and Linear Algebra.
Comfortable programming in Python (other languages are helpful, but Python is used in the program).

Offerings:

US$7.5k/mo stipend for 3 months
US$25,000 worth of credits from Amazon Web Services.
A guaranteed interview with OpenAI for full-time work after completion of the Scholars program.
Access to a group Slack with the scholars and mentors. Possible desk at Open AI office (which past Scholars have found very valuable).
A mentor to work with 1:1 via video call each week, who can answer questions via chat/email, and advise on project design and execution.

NVIDIA AI Research Residency

Deadline: 3 pm Pacific Time — 12/07/2018
Duration: 12 months full-time; July 2019 — June 2020
Location: NVIDIA HQ in Santa Clara, US
Requirements:
Demonstrated research experience in mathematics, physics, signal processing, statistics, neuroscience, or computer science.
Track record of research excellence with a strong publication record.
Excellent communication skills.
Coding experience in a programming language like Python, MATLAB, or C/C++.
Familiarity with a deep learning framework, such as PyTorch or TensorFlow is a plus.
Some research experience in machine learning is a plus.

Offerings:

Candidates are paid during the program.
The program is intended for PhDs in fields related to AI so applicants can gain and develop expertise in machine learning research. Applicants cannot be enrolled as a student at a university while doing the program.
NVIDIA will pair the candidate with an experienced researcher to work on a joint research problem that is of mutual interest.
Publication of findings at venues such as NIPs, ICLR, ICML, and CVPR.

Google AI Residency Program

Deadline: 01/28/2019
Duration: 12 months; The Google AI Residency Program will have 3 start dates over the course of 5 months, from June to October 2019. Exact dates are yet to be determined.
Locations:
Seattle, WA, United States; Mountain View, CA, United States; Cambridge, MA, United States; New York, NY, United States;
Montréal, QC, Canada; Toronto, ON, Canada;
Accra, Ghana; Zürich, Switzerland; Tel Aviv-Yafo, Israel.

Requirements:

BS degree or equivalent practical experience in a STEM field such as computer science, mathematics, or statistics.
Completed coursework in statistics, algorithms, calculus, linear algebra, or probability (or their equivalent).
Experience with one or more general purpose programming languages, including but not limited to: Python or C/C++
Experience with machine learning; or applications of machine learning to NLP, human-computer interaction, computer vision, speech, computer systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.
Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms) is preferred.
Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests is preferred.

Offerings

Collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems.
Residents have the opportunity to do everything from conducting fundamental research to contributing to products and services used by billions of people.
Residents are on-boarded into the program as full-time employees for a fixed term of one year with full access to Google tools and infrastructure.

Microsoft AI Residency Program

Deadline: 01/31/2019
Duration: 12 months; September 2019 — August 2020
Locations: Redmond, US; Cambridge, UK
Requirements:
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.

Offerings:

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 or Redmond.
Receive competitive compensation and be encouraged to apply for a regular position at Microsoft at the end the residency program.

Tech leaders Intel, Uber, and Facebook offered year-long AI residency programs this year, but any programs for 2019 have yet to be announced.

Japanese software development company Preferred Networks also organized a 4-month AI residency program this year. The company opened applications for their 2019 intern program in September. The application deadline has not yet been announced. Preferred Networks is renown for applying real-time machine-learning technologies to new applications in the field of IOT.

Comments

Feel free to send pull requests for the repository.
Plan to keep this updated in the long term
Credits - Some content is adapted from Awesome AI Residency repository (https://github.com/dangkhoasdc/awesome-ai-residency)

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