AI Resident (Seattle, Menlo Park or New York) - Women in Web Dev
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AI Resident (Seattle, Menlo Park or New York) - Facebook


Job Description

The AI Residency 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. We also encourage collaborations beyond the assigned mentors. The research will be communicated to the academic community by submitting papers to top academic venues (for example, NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP etc.), as well as open-source code releases and/or product impact.

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

We encourage applications from people who have a strong technical background and are passionate about AI research. Experience in machine learning is certainly a strength, but we seek people from a diverse range of backgrounds, including areas ostensibly unrelated to machine learning such as (but not limited to) math, physics, finance, economics, linguistics, computational social science, neuroscience and bioinformatics.

  • Learn how to perform research in deep learning and AI.
  • Understand prior work and existing literature.
  • Work with mentors to identify problem(s) of interest and develop novel AI technique
  • Translate ideas into practical code (in frameworks such as PyTorch).
  • Write up research results in the form of an academic paper or open-source project.

Requirements

Minimum Qualifications

  • Coding experience in a programming language, such as Python or C/C++.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

  • Currently has, or is in the process of obtaining, a Bachelors degree in a STEM field such as Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, or equivalent practical experience.
  • Completed coursework in: Linear Algebra, Probability, Calculus, or equivalent.
  • Knowledge in learning platforms such as PyTorch, Caffe, Theano, or TensorFlow.
  • Significant contributions to open-source projects, demonstrating strong math, engineering, statistics, or machine learning skills.
  • Experience communicating complex research in a clear, precise, and actionable manner.
  • Minimum qualification: Coding experience in a programming language, such as Python or C/C++.

Hiring Process

  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
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About Facebook

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
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