Facebook

Research Scientist, Adaptive Experimentation (PhD)

Posted on: 6 Feb 2021

Menlo Park, CA

Job Description

Facebook is seeking Research Scientist to join the Adaptive Experimentation team. The mission of the team is to do cutting-edge research and build new tools for reinforcement learning and black-box optimization that democratize new and emerging uses of AI technologies across Facebook, Instagram, and sister companies. Applications range from AutoML, to automating A/B tests, to contextual decision-making for mobile and server-side infrastructure, to black-box optimization for hardware design. Researcher will be expected to conduct cutting-edge applied research in the area of reinforcement learning and black-box optimization while working collaboratively with teams across the company to solve important problems. Research Scientists are expected to work alongside with applied statisticians specializing in causal inference and experimental design, so additional experience in these areas is a plus.

Research Scientist, Adaptive Experimentation (PhD) Responsibilities

* Develop and apply new adaptive experimentation methods, such as multi-armed bandit optimization and reinforcement learning, to new and emerging applications

Minimum Qualifications

* Experience with developing and debugging in with Python with PyTorch, TensorFlow, Caffe, or related frameworks

* Experience and a publication track record in at least one of the following: Deep reinforcement learning, Contextual bandits, AutoML, Bayesian optimization, or Evolutionary strategies or evolutionary algorithms

* Currently has or is in the process of obtaining a Ph.D. degree in computer science, operations research, statistics, or related field

* Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

* An interest in disseminating new methods through open-source projects and/or academic publications.

* First-author publications at peer-reviewed AI conferences (e.g. NIPS, ICML, ICLR, AISTATS, UAI).

* Experience with causal inference, applied statistics, or A/B testing.

Locations

About the Facebook company

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.

Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.

Facebook

Menlo Park, CA

Facebook, Inc. provides various products to connect and share through mobile devices, personal computers, and other surfaces worldwide. The company’s products include Facebook that enables people to connect, share, discover, and communicate with each other on mobile devices and personal computers; Instagram, a community for sharing photos, videos, and messages; Messenger, a messaging application for people to connect with friends, family, groups, and businesses across platforms and devices; and WhatsApp, a messaging application for use by people and businesses to communicate in a private way. It also provides Oculus, a hardware, software, and developer ecosystem, which allows people to come together and connect with each other through its Oculus virtual reality products. As of December 31, 2018, it had approximately 1.52 billion daily active users. The company was founded in 2004 and is headquartered in Menlo Park, California.