Facebook Research Engineer Intern - Statistics and Privacy (PhD) in Remote, United States
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.
Our Statistics and Privacy team focuses on establishing step-change improvements to advance our long-term business growth. The team's expertise spans many domains including statistics, machine learning and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that millions of advertisers can benefit. Examples include internal and external experimentation platforms, ads delivery optimization for efficient causal outcomes, and the application of privacy enhancing technologies across our ads product stack.We are looking for research interns to join our teams to drive forward new prototypes and methodologies. Interns will pursue novel applied research associated with privacy preserving machine learning, cryptography and internet technology, or causal inference and experimentation platforms. This work is critical to our long-term product development, and we expect interns to provide both scientific expertise and creative solutions to accelerate their project area.
Assess potential opportunities and execute world-class research associated with your area of scientific expertise
Write high quality academic papers to advocate the research and innovations
Establish approaches to rigorously assess relative performance of new technologies or strategies
Learn new tools, systems and languages quickly as required by the particular project you are working on
Apply communication skills to engage diverse audiences on technical topics and nuanced insights
Currently has, or is in the process of obtaining, a PhD degree in statistics, computer science, electrical engineering, physics, quantitative social science, or a related quantitative field
Expertise in one of the following areas: privacy preserving machine learning, cryptography and internet technology, or causal inference and experimentation platforms
Proficiency in designing and implementing analytical and/or algorithmic solutions, tailored to applied research problems and tested on large data sets
Strong proficiency in common scripting and query languages
Ability to communicate analysis and establish confidence among audiences who do not share your disciplinary background or training
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Must be currently enrolled in a full-time degree program and returning to the program after the completion of the internship/co-op
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at firstname.lastname@example.org.