Research Scientist - Statistical Learning and Experimentation

Facebook wordmarkFacebook wordmarkFacebook
Research Scientist - Statistical Learning and Experimentation
Our Statistics & 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, economics, and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that 3 billion people and 200 million businesses on our platform 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.
Facebook seeks industry-experienced Research Scientists to join Statistics & Privacy and serve as scientific leaders for cutting-edge applied research. Such work necessitates identification and evaluation of new research opportunities, and development of scientifically rigorous systems. Research scientists drive forward prototypes and methodologies, and build consensus with engineering stakeholders as to the scientific and strategic merit of our initiatives. This role will focus on ranking, delivery, and 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 Scientist - Statistical Learning and Experimentation Responsibilities
  • Identify specific, high-impact opportunities to build new and improve existing advertising and commerce solutions
  • Design and prototype new algorithms, optimization methods, and system architectures with a focus on deep learning (retrieval, ranking, recommender systems), experimentation and inference systems
  • Build cross-functional relationships to shape long-term roadmaps with a balance of scientific rigor and strategic considerations
  • Learn new tools, systems and languages quickly as required by the particular project you are working on
  • Develop patent applications, white papers, conference presentations, and publications that are broadly appealing and accessible beyond a core scientific audience
Minimum Qualifications
  • PhD in a quantitative field such as statistics, computer science, physics, or computational social science, or MS/MA degree with 4+ additional years of relevant experience
  • First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, JSM, KDD) or disciplinary journals
  • Expertise in statistics (particularly causal inference and Bayesian inference) or deep learning (particularly ranking, retrieval and recommender systems), including addressing challenges from incomplete, unrepresentative, and mislabeled data
  • Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets
  • Expertise in Python, Julia, or R
  • Proficiency in communicating analyses and establishing confidence among audiences who do not share your disciplinary background or training
  • Track record of product or systems innovation, and strategic focus
Locations
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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
(Colorado only*) Estimated salary of $174,000/year + bonus + equity + benefits
*Note: Disclosure as required by sb19-085(8-5-20)
Related Job Openings
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta 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.