Google AI Resident, 2020 Start (Fixed-Term Employee)
Google
Toronto, ON
Please complete your application before December 19, 2019.
We’ll review complete applications on a rolling basis and interviews will begin in February 2020. It is in your best interest to submit your application early; we will review completed applications on a first come, first serve basis.
Current students (BS/MS/PhD) must graduate before the residency begins.
The Google AI Residency Program will start some time between June - October 2020. Exact dates are to be determined.
Due to the high interest in this program, we are only able to consider complete applications. Work authorization is required for this fixed term role. Work authorization is required for this fixed term role. If you don’t have Canadian work authorization, Google will explore the available work authorization options for you.

How to apply:
Step 1

Prepare the following documents:
Current resume (include links to, blogs, or Stack Overflow or similar online community). Your resume should include a list of peer-reviewed publications, if applicable.
Cover letter which answers all of the questions listed below.
Transcript if you are currently in school or have graduated in the last 3 years.
Step 2
Click on the “Apply” button on this page and include required materials in the appropriate sections (PDFs preferred):

In the “Resume Section:” attach an updated CV or resume.
In the “Cover letter/other notes Section:” Copy and paste your cover letter of ~750 words that answer the following questions in list format:
What are your primary research interests and why do you think they are important?
How would participating in the AI Residency Program 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.
**The cover letter is mandatory for the program even though it is optional, as noted on the website, for other jobs at Google**
In the “Education Section:” attach a current or recent unofficial or official transcript in English.
Under “Degree Status,” select “Now attending” to upload a transcript.
Questions? See our FAQ at g.co/airesidency/faqs

Minimum qualifications:
BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, Statistics, Biology, Economics or other disciplines.
Experience with coding in Python, C/C++, or Java.
Research experience in machine learning or AI techniques (e.g. open source project(s), campus lab experience, research internship(s), or publication(s)).

Preferred qualifications:
Ability to collaborate and communicate across multiple teams (in a multi-disciplinary environment)
Passion for the field of Machine Learning Research
About the job
The Google AI Residency Program is a role designed to advance your career in machine learning research with a minimum commitment of 12 months (and extendable up to 18 months). The goal of the residency is to help residents become productive and successful AI researchers. Residents collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems. Take a look at the impactful research done by earlier cohorts.

Google aspires to be an organization that reflects the globally diverse audience that our search engine and tools serve. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas and cultures leads to the creation of better products and services. We encourage applications from individuals underrepresented in the engineering and tech industry.

There 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.
Learn and understand a large body of research in machine learning algorithms.
Implement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.
Conduct research and publish it across various venues.
Collaborate across the team and wider organization and Research community.
At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.