Our internships require a strong background in mathematics and computer science. Existing research experience in machine learning is strongly advantageous but not required. Although primarily aimed at undergraduates, we are also interested in people who can demonstrate technical excellence and wish to transition to provably beneficial AI research. Examples include professional ML engineers, or PhD students/researchers in an adjacent numerical field. Experienced researchers or PhD students in a directly related field should enquire about collaborating

General Information

  • Deadline: Application will close on December 15th.
  • Start Date: Flexible but typically starts in May or June 2020.
  • Duration: Internships are typically 8 to 12 weeks long.
  • Compensation: $3,000/month stipend to cover living and travel expenses will be offered to those who are eligible (e.g. students). Others will be referred to BERI (CHAI's partner organization) to apply for funding.
  • International Applicants: We accept international applicants. 
  • Requirements:
    • Resume
    • Cover Letter/Statement of Motivation
    • Academic Transcript
  • Optional:
    • Research Proposal
      • For more information regarding the research proposal - see "Research Proposal Advice" below.
      • Note: proposals are useful for us to evaluate candidates who have a sense of the type of research they would like to do. However, we don't expect proposals from most of our candidates since candidates typically do not have experience with writing proposals. 

Research Proposal Advice

We will use the proposal to primarily assess applicants’ motivation and interest in the field, and it is a great opportunity for you to practice this essential research skill. 

This is your opportunity to demonstrate knowledge of related work in the field and the ability to formulate novel research questions; please include as much technical detail as possible. Although we will take into account the research interests expressed in your proposal when matching you with potential advisors and projects, in most cases interns will work on a project closely associated with their advisor’s research, rather than the project described in your proposal.

We are aware that for many applicants this will be the first research proposal they have written, so we’ve put together a few resources to help you get started. We’d recommend everyone read Concrete Problems in AI Safety, which surveys several promising research directions. You can get more ideas by following the citations in this paper, by checking out a list of topics from the Open Philanthropy Project or reading CHAI’s very own publications. When an idea from one of these sources catches your interest, spend some time reading up on prior work in the area, and brainstorm a few ideas for how to extend it. Try and be original: we’d rather read a half-baked idea that is novel, than an eloquently explained idea that is derivative. Finally, relax: we’re not expecting fully fleshed out proposals, especially from applicants who are new to research.

Internship Application Process Overview

The internship application process has four distinct phases.

  • Initial Review (Phase 1)
    • We will examine your application based on motivation, research potential, grades, experience, programming ability, etc.
    • Depending on the strength of those factors listed above, you will move on to the next phase.
  • Programming Assessment (Phase 2)
    • You will be given a programming test which will be graded by CHAI mentors and researchers.
    • Depending on your score, you will move on to the next phase.
  • Interviews (Phase 3)
    • CHAI has several mentors who are willing to take on interns. Each mentor that is interested in working with you will contact you to schedule an interview.
    • It's possible that you will speak to more than one mentor during this phase.
  • Offer (Phase 4)
    • If you are given an offer by one mentor, then you will work with that mentor. 
    • If you are given multiple offers from different mentors, then you will get to choose which mentor you want to work with.

Contact Information

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