AI Residency Programs

There are various Fortune 500 companies introducing the new “AI/ML residency programs”. These are full-time programs with durations ranging from a year to two, organized by the research department of the organizations focusing mainly on students from STEM/Statistical/bioinformatics or mostly any technical background. Having these programs as an experience will set you apart from the crowd and give you an enriching experience at learning like never before. You’ll be paired with or mentored by researchers and engineers and be allotted a project with guidance from them. There are exhaustive resources on the internet about how to get into them with various timelines. As of now, most of the applications for 2021 cohorts have been closed.Here is a list with the timelines for the 2022 cohort of some of the organizations and some regular. AND YES, YOU DON’T NEED TO HAVE MUCH EXPERIENCE TO GET INTO THEM, open-source experience and proven research abilities are sufficient! Although a degree might help.

Google

The Google AI Residency Program (formerly known as the Google Brain Residency Program) is a 18-month role designed to advance your career in machine learning research. Ideal candidates have a degree (BS, MS or PhD) or equivalent experience in a STEM field such as Math, Statistics, Physics, Biology, Economics, etc. Presently the AI residency program recruitment process is divided into following parts :

1. CV Screening : Your CV should have detailed mentions of the projects you have worked on, open source contributions if any, and relevant publications.
2. Online Interview on Hangouts Once you are shortlisted in CV screening, you are assigned a recruiter, and then invited for a 45 minute Hangouts coding interview. The Hangouts interview is primarily about Machine Learning and Coding. So brush up your coding skills — e.g. standard Data Structures, standard ML algorithms before appearing for this interview. Do keep in mind, it’s a very large domain to prepare for, so you can’t be completely prepared for it. Being quick and accurate in coding generally helps.
3. Onsite Interviews Once you qualify the hangout rounds, you are invited to onsite interviews (to one of the select Google Offices). There, you have to give two research based interviews. These interviews are primarily based on your research interest and experience. Brush up on the projects you have mentioned in your CV (in details).

Deadlines: Usually December of previous year(2021 batch cancelled due to COVID)

To know More click here

Facebook AI

The Artificial Intelligence (AI) Residency Program is a one-year research training position designed to give you hands-on experience with artificial intelligence research while working in Facebook AI. The program will pair you with an AI Researcher and Engineer who will both guide your project. With the team, you will pick a research problem of mutual interest and then devise new deep learning techniques to solve it..

The Residency experience is designed to kickstart a career in the field. This is full-time program that cannot be undertaken in conjunction with university study or a full-time job.

The process is extremely standard. Basically you’ll have the same set of interviews regardless of your focus. In other words, the interview process is exactly the same for front-end developers and ML engineers. As a result, spend enough time and effort on interview preparation. You may need to practice with a lot of coding questions, which might be irrelevant to ML and AI to some extent.

Dates: August

Deadline: January of the Same year

To know more click here

Apple AI

The year-long program will welcome residents with STEM graduate degrees or equivalent industry experience, software development backgrounds, and niche expertise — like design, linguistics, neuroscience, or psychology. The program aims to invest in the resident’s technical and theoretical machine learning development, and help advance their professional careers.

The residents will have the opportunity to attend personalized machine learning and AI courses, learn from an Apple mentor closely involved in their program, collaborate with fellow multi-talented residents, and gain hands-on experience working on high-impact projects with our machine learning teams.

Deadlines : July same year

To know more visit AppleAIResidency

IBM AI

The IBM Research AI Residency Program is a 13-month program that provides opportunity for scientists, engineers, domain experts, and entrepreneurs to conduct innovative research and development on important and emerging topics in Artificial Intelligence.

Requirement for application: 500 word research statement explaining your specific research interests.

Dates: September,2021

Where:

IBM T. J. Watson Research Center (Yorktown Heights, NY)

IBM Research AI and MIT-IBM Watson AI Lab (Cambridge, MA)

IBM Almaden Research Center (San Jose, CA)

To know more visit IBMAIResidency

Shell.ai

The Shell.ai residency programme is a 2-year, full-time, immersive programme, which allows data scientists and AI engineers to gain experience working on a variety of AI projects across all Shell businesses.

Consider yourself eligible to apply if You have probably around 3 years of working experience and a PhD, MSc, or BSc degree in a relevant study background, such as Artificial Intelligence, Data Science, Econometrics, Computer Science, Information Technology or a Science background with relevant software development and coding skills.

To know more:ShellAI

Microsoft AI

A one-year long program like every other AI residency program. This program will provide following benefits:

• 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 of the residency program.

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

DATES for 2020 cohort

• 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

Keep a watch in September 2021 for the 2022 cohort here

Many other organizations are focusing on investing in AI/ML through these residency programs. Check them out here: For more you can refer this