QualificationsResearchNatural language processingSignal processingMachine learningData structuresDoctoral degreeDoctor of Philosophy
Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Facebook’s platforms
Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure
Utilize technical research background, train new ranking models, and run experiments
Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure
Use machine learning, statistics, or other data techniques to build algorithms
Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps
Analyze and resolve computer challenges from a system engineering standpoint
Employer will accept a PhD Degree in Computer Science, Engineering, Mathematics, Physics, or related field. Position also requires completion of a university-level course/research project/ internship/thesis, or 6 months of experience, in each of the following:
Algorithms, data structures, or systems software
Solving analytical problems using quantitative approaches
Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
Communicating complex research in a clear, precise, and actionable manner
Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
Devising better data-driven models of human behavior
Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models.
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 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 [email protected].