Facebook Core Data Science Intern, Product Algorithms (PhD) in Denver, Colorado
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.
We are looking for researcher Interns to join the Core Data Science team. Core Data Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of Facebook's successes. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and operational use cases at Facebook.
Work closely with a product engineering team to identify and answer important product questions
Answer product questions by using appropriate statistical techniques on available data
Communicate findings to product managers and engineers
Drive the collection of new data and the refinement of existing data sources
Analyze and interpret the results of product experiments
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams
Currently has, or is in the process of obtaining, a PhD degree in CS or related technical field
Extensive experience solving analytical problems using quantitative approaches
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
A strong passion for empirical research and for answering hard questions with data
A flexible analytic approach that allows for results at varying levels of precision
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Strong knowledge of an analysis tool such as Python or R
Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
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
- Publications in top-tier Machine Learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
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.