AI Residency Programs You Should Apply To

AI Residency Programs You Should Apply To

We have made a detailed list of AI residency programs you can apply to right now. These AI residency programs give you the opportunity to put your foot at the door of AI companies. Here is all you need to know about the available resident programs.

What is a residency program?

Residency as an opportunity for advanced training in a specialized field. It is usually open to those who have a background knowledge already in the field or related subject areas. A residency program provides the opportunity to research much more about the field and have hands on experience as well.

Do you get paid for residency programs?

Usually, yes it comes with a pay. Pay scale is strictly the company’s decision and can also be based on your level of education. PhD could earn more than a Masters holder etc. See here

How long does it take?

Usually within 6 months and 2 years.

If you perform well, will you be converted to a full-time employee?

Again, this depends on the company. Google retains impressive residents.

Can you apply from anywhere?

Yes, most of the companies have a visa sponsorship option for those who are been selected.

1. NVIDIA AI Research Residency – 1 year

The application period for the 2019 NVIDIA AI Research Residency Program is now open. Submission close at 3pm Pacific on December 7th.

Overview

The NVIDIA AI Research Residency Program is a 12-month program within NVIDIA Research that is intended for PhDs in fields adjacent to AI in order to gain and develop expertise in machine learning research. You will be paired with an experienced researcher from NVIDIA to work on a joint research problem that is of mutual interest. Over the course of the 12 months, you will devise and investigate new methods, evaluate them, and disseminate your findings to the research community through publications at venues such as NIPS, ICLR, ICML, and CVPR. The program is designed to get you up to speed as quickly as possible, so you can pursue a career as a research scientist in machine learning.

While we expect residents to have a strong technical background, it does not need to be in artificial intelligence. Experience in adjacent fields that provide a meaningful knowledge base which is relevant to machine learning qualifies. This includes PhDs (or similar research experience) in mathematics, physics, signal processing, statistics, neuroscience, and computer science. Some prior experience with machine learning and commonly used frameworks and tools is a plus, but not strictly necessary.

Residents will be typically based at NVIDIA HQ in Santa Clara.

What You’ll Be Doing

  • Get up to speed in machine learning.
  • Read and learn about prior work.
  • With the help of your mentor, define your research project.
  • Follow through on your research project, including implementation and evaluation.
  • Write up your research results in the form of an academic paper and submit to a relevant conference.

Eligibility

What We’ll Need to See:

  • 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.

Evaluation Criteria

Each proposal will be evaluated for:

  • Applicant quality
  • Research quality
  • Relevance to NVIDIA

Application Instructions

Your AI Research Residency application must include:

  • CV/Resume. Please make sure to include details on your 1) publication track record, 2) coding experience and/or open source contributions, 3) machine learning experience (if any).
  • Personal and Research Statement (2 pages maximum). Please describe why you would like to participate, which research area you would like to get into, what your current research expertise is and how it fits with the NVIDIA AI Research Residency Program. If you have concrete research ideas, please include them.
  • Transcripts. Please include transcripts from your previous degrees.

Submission portal: It is the applicant’s responsibility to ensure that all of these items are submitted prior to the deadline. We are using a new submission portal, in which the applicant manages their own application. The applicant must:

  • complete a profile – start this now; you can go back to the portal repeatedly until you submit the final application
  • complete your application input including all required documents in PDF format
  • submit the final application when all items are complete, and prior to the application deadline: 3pm Pacific Friday December 7, 2018

CLICK HERE TO ACCESS THE SUBMISSION PORTAL

Timeline

  • Submission portal opens: November 1st, 2018
  • Submission deadline: December 7th, 2018
  • Interview invitation: January 4th, 2019
  • Notification: March 1st, 2019
  • Offer acceptance deadline: March 15th, 2019
  • Residency program start: July 2019
  • Residency program end: June 2020

Terms and Conditions

Final acceptance to the AI Research Residency program will be subject to NVIDIA’s hiring policies. During the AI Research Residency, you will be subject to NVIDIA’s corporate policies, including, but not limited to, intellectual property and open source software. NVIDIA Corporation will be the employer under this program.

AI Research Residency FAQs

  • Is the residency paid? Yes.
  • Can I do a part-time residency? No, it is a full-time program.
  • Can I do a longer residency? No, the program is designed for 12 months.
  • Can I be still enrolled as a student at a university? No, the residency cannot be done simultaneously.
  • Can I do it remotely? No. It is much more beneficial to be in daily, direct contact with your mentor.
  • Do I need to be a US citizen or green card holder? No. We will help you obtain a visa (assuming you are eligible).
  • Can the residency lead to a full-time position at NVIDIA? A successful residency may lead to full-time employment at NVIDIA.
  • Do the transcripts I submit need to be official? No, non-official copies are acceptable.

2. Google AI Resident – 1 year

Application Timeline:

  • We are accepting applications until January 28, 2019.
  • Our team will review applications on a rolling basis and interviews will begin in November 2018. It is in your best interest to submit your application early.
  • 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.

Note: By applying to this position your application is automatically submitted to the following locations: Toronto, ON, Canada; Montreal, QC, Canada; Tel Aviv-Yafo, Israel; Accra, Ghana

About the Program:
The Google AI Residency Program is a 12-month role designed to advance your career in machine learning research. The goal of the residency is to help residents become productive and successful AI researchers.

As part of this program, Residents 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. We also encourage our Residents to publish their work externally. Take a look at the impactful research done by earlier cohorts.

Please note that by applying to this job, you may be considered for all of the locations: Bay Area (Mountain View and San Francisco), New York CityCambridge (Massachusetts)Montreal and Toronto, Canada, Seattle (Washington State)Accra (Ghana)Tel Aviv (Israel) and Zurich (Switzerland). Residents are placed based on interest, project fit, location preference and team needs. All are expected to work on site.

We encourage candidates from all over the world to apply. You may have research experience in another field (e.g. human-computer interaction, mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or have limited research experience but a strong desire to learn more. Current students will need to graduate from their degree program (BS/MS/PhD) before the residency begins. If a candidate requires work authorization for a location, Google will explore the available options on a case-by-case basis.

Your application should show evidence of proficiency in programming and in prerequisite courses (e.g., machine learning, user-centered interfaces or applications, data science, mathematical analysis). This can be demonstrated through links to open-source projects, notable performances in competitions, publications and blog posts, or projects that showcase implementation of one or more novel learning algorithms.

To start the application process, click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

1. In the “Resume Section:” attach an updated CV or resume.
2. In the “Cover letter/other notes Section:” Copy and paste a cover letter which must include answers to the following questions:

  • What are your primary research interests and why do you think they are important?
  • How would participating in the AI Residency help you to explore your research interests and achieve your goals?
  • Give an example of an open-ended research question or project you’ve worked on. What made it challenging and how did you overcome those challenges? Alternatively, summarize and critique a machine learning paper you have read that you found interesting.

**Although cover letters are optional for most job applications at Google (as noted on the website), it is a mandatory component for this application. Complete applications (cover letters included) will be prioritized for review over incomplete applications.

3. In the “Education Section:” attach a current or recent unofficial or official transcript in English if you have graduated in the last three years.

  • Under “Degree Status,” select “Now attending” to upload a transcript.

*Please note that we will ask you to provide a Letter of Recommendation once you have passed the initial Hangouts interview.

Questions? See our FAQs at g.co/airesidency/faqsThere is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We’re constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We’re providing users around the world with great search results every day, but at Google, great just isn’t good enough. We’re just getting started.

Responsibilities

  • Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.
  • Conduct research and publish it in competitive venues.
  • Implement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.
  • Learn and understand a large body of research in machine learning algorithms.

Qualifications

Minimum qualifications:

  • 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.

Preferred qualifications:

  • Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms).
  • Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests.

CLICK HERE TO APPLY

3. Microsoft AI Residency Program – 1 year

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 first class of residents are currently here and learning new skills we are eager to meet our 2019/2020 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.

Key dates for the 2019-20 Program

Application Deadline
January 31, 2019

Apply for Redmond Lab AI Residency >

Apply for Cambridge Lab AI Residency >

Interview Period
February – Mid-March 2019

Notification of Admission
Late March – Mid-April, 2019

Residency program
September 2019 – August 2020

Documents needed to apply

1) Cover letter
2) Curriculum Vitae (CV)

Contact us

For questions, please see our FAQ or email AIResidency@microsoft.com

 4. OpenAI Scholar – Winter 2019 – 6 months

The OpenAI Fellows program is for people who want to want to be AI researchers and have previously demonstrated excellence in another field.
As a Fellow, you’ll work with a mentor to develop your understanding and perform a research project. This program runs for 6 months, which consists of a 2-month period of background learning and exploration followed by 4 months of working on a research project.

Here are a few things we’d like to see in a candidate:

    • Objective achievements in another field, such as creating a large software system, awards in math/science/programming contests, or authoring highly-cited publications
    • Strong technical research experience in another field
    • Open-source reimplementations of deep learning algorithms which replicate performance from the papers

In order to succeed in this program, you’ll need:

    • Strong programming skills – Python is the lingua franca for this sort of work.
    • A strong understanding of Linear Algebra, Calculus, and Statistics.
    • To be motivated by AI and its potential.

We will give preference to:

    • People who can join OpenAI full-time after finishing the fellowship.
    • People who have taken the initiative to self-study the fundamentals of ML before starting the fellowship.
    • People with US work authorization.
Applications for the February 2019 cohort are open now, and will close on 11/5/2018.
We will be reviewing applications on a rolling basis and will notify accepted fellows for the February 2019 cohort by 12/11/2018. We may close applications early if we reach capacity earlier than expected.
This cohort will begin on 2/4/2019 and will end on 8/2/2019. Participants will work from our San Francisco office during that time and should expect this to be a 40+ hour/week commitment.

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