About the job
Research Scientist
Responsibilities
Perform research and develop solutions to computer software and computer hardware problems.
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.
Qualifications
Minimum
Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field and 2 years of experience in the job offered or in a computer-related occupation
Experience must include 2 years of experience in 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 and
Java, C++, Perl, PHP, or Python
Preferred
No preferred qualifications listed.