Research Intern — Statistical Learning and Experimentation, Stats & Privacy(PhD)

Research Intern — Statistical Learning and Experimentation, Stats & Privacy(PhD)
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Tel Aviv, Israel
Our Statistics & Privacy team focuses on establishing step-change improvements to advance Facebook’s long-term business growth. The team's expertise spans many domains including statistics, machine learning, economics, 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. We seek Research Interns to identify new opportunities and help build scientifically rigorous systems focused on product innovation leveraging statistics, economics, and machine learning. Research scientists drive forward prototypes and methodologies, and build consensus with engineering stakeholders as to the scientific and strategic merit of our initiatives. Research Interns will focus on large-scale ranking, integrity, financial and/or experimentation systems that power our advertising and commerce capabilities. This work is critical to our long-term product development, and we expect research scientists to provide both scientific expertise and creative solutions to accelerate their project area.
Research Intern — Statistical Learning and Experimentation, Stats & Privacy(PhD) Responsibilities
  • Assess potential opportunities and execute world-class research associated with your area of scientific expertise
  • Design and prototype new algorithms, optimization methods, and system architectures to advance our long-term priorities
  • Establish approaches to rigorously assess validity and relative performance of new technologies or strategies
  • Build cross-functional collaborations with Engineering, Product and Analytics teams to shape roadmaps with a balance of scientific rigor and strategic considerations
  • Learn new tools, systems, and programming 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
  • Develop patent applications, white papers, and publications that are broadly appealing and accessible beyond a core scientific audience. Publish research results in top-tier journals and at leading conferences
Minimum Qualifications
  • Pursuing a PhD in statistics, physics, economics, computational social science, or a related field
  • Understanding of modern machine learning techniques and their mathematical underpinning
  • Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets
  • Proficiency in Python
  • Proficiency in data analysis languages (Python, R or Julia) languages
  • Experience communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training
  • Proven track record of innovation
  • Expertise in statistics (particularly causal inference and Bayesian inference) including addressing challenges from incomplete, unrepresentative, and mislabeled data
  • Must be currently enrolled in a full-time degree program and returning to the program after the completion of the internship/co-op
Preferred Qualifications
  • Research experience with enormous data sets and experiments
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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