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Uber AI Residency Program 2020 [San Francisco and Toronto]

Engineering
in San Francisco, California

About the Residency Program


The Uber AI Residency is an intensive one-year program (starting mid-late June 2020) intended for people seeking to advance their careers in machine learning research and practice. Read more about the program on the Uber Eng blog.


Residents will have the flexibility to pursue a range of different directions in research and application. Some projects might involve fundamental machine learning and AI research, pushing the frontiers of the field by developing new algorithms for learning and control. Others could include devising and training new models based on Uber's huge data sets. These models may be seen through to production where they will impact millions. Yet other projects could use new or existing models in concert with Uber's data to provide critical insights into our changing world. Residents will have the opportunity to work directly with a distinguished group of researchers and engineers within Uber ATG.


A Residency will last for 12 months and will begin with an initial period of learning, exploration, and collaborative ideation. During this period, Residents will meet with researchers at Uber ATG and converge on initial project directions, and mentorship will be arranged. Projects that span disciplines and teams are encouraged, and mentors may be selected from any team as appropriate for the project. Residents will be encouraged to publish their work externally at top machine learning venues (NIPS, ICLR, ICML, CVPR, EMNLP, ACL, etc.), via blog posts, or by posting open source projects.


The application will close on January 19th, but candidates who apply by January 5th will be given priority. Notifications about next steps will be sent in late February.

What you'll need

Eligibility Requirements

  • BS, MS, or PhD in a technical field or equivalent experience
  • Coursework in or working knowledge of linear algebra, calculus, and probability
  • Coding ability in Python or C/C++
  • Demonstrated experience with machine learning or deep learning algorithms, and demonstrated passion for the same. If you're excited about ML, show us what you've done so far!

Preferred Qualifications (any of the below are great but none are required):

  • Demonstrated success at self-driven projects: whether you coded something great from the ground up, executed a beautiful research project, organized a group of your peers to action, asked and answered an important societal question, or started a company, we're looking for people that are used to pressing toward ambitions, exciting goals.
  • A strong track record of open source contributions in any area, particularly machine learning.
  • Impactful, well-cited publications in any field, particularly machine learning.

Residents will work from Uber ATG in San Francisco, or Uber ATG in Toronto. We strongly encourage applications from candidates with diverse backgrounds and from anywhere in the world! Candidates who need a visa to work in the US or Canada are also encouraged to apply; we will investigate options on a case-by-case basis for those who are accepted.

Application process:

The applications consists of two steps. Both must be completed or applications will not be considered!

Step 1:

Click the "Apply" button below, then "Apply with Resume," and then submit your CV or Resume. Fill out the subsequent screens, and finally click "Apply Now" to submit step 1 of the application.

Step 2:

Collect the following required information:

  • Transcript from your most recent degree (unofficial is fine)
  • A cover letter containing (1) a brief statement on why you would be a great resident at Uber (2) a brief statement on a scientific question, machine learning model, and/or Uber dataset that you think would be exciting to work on.

Collect as much of the following optional information as possible:

  • List of awards, prizes, grants, or competitions won
  • List of publications or link to Google Scholar page, if you have one
  • Link to your GitHub
  • Link to your personal site or blog
  • Link to your LinkedIn

And submit the above set of information via this supplementary application form hyperlinked below:

Application for Uber AI Residency (Step 2)

Note: Candidates that pass the first round of review will be asked to submit a letter of recommendation by February 21st to be considered. Please keep this timeline in mind so you are able to give your referer enough notice.

Timeline

January 5th: Soft application deadline

January 19th: Hard application deadline (candidates are encouraged to apply by January 5th, although we will continue to review applications submitted until January 19th)

Late January: First round of notifications will be sent with requests for recommendation letters and/or phone interviews

Mid-March: Residency decisions announced

Questions? Please see if your question is covered in our FAQ or, if not, email ai-residency@uber.com with any questions.

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