Research Scientist
Menlo Park, CA | Remote, US
- 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 Meta’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.
- Work on problems of diverse
scope where analysis of data requires evaluation of identifiable factors. - Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- Telecommute from anywhere in the US permitted.
- Requires a PhD degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following:
- 1. Algorithms, data structures, or systems software
- 2. Solving analytical problems using quantitative approaches
- 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
- 4. Communicating complex research in a clear, precise, and actionable manner
- 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or
computer vision - 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
- 7. Devising better data-driven models of human behavior
- 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
- 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
- 10. Java, C++, Perl, PHP, or …
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Regions Countries RestrictionsTelecommute from anywhere in the U.S. permitted
Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Data mining
- Design and implement optimization algorithms
- Implement large-scale distributed software systems
- Research and develop solutions to computer software and hardware problems
- Resolve computer challenges from a system engineering standpoint
- Train new ranking models
- Work on problems of diverse scope
Algorithms Artificial Intelligence C C++ Computer Science Computer Vision Data Mining Data Structures Data techniques Design Developing Distributed software systems Engineering Information Retrieval Java Machine Learning NLP Optimization Optimization algorithms Pattern Recognition Perl PHP Python Recommendation systems Recruiting Regression Research Signal processing Statistics Systems software Technical Web
EducationAnalytics Applied Sciences Artificial Intelligence Computer Science Computer Software Engineering Information Systems Mathematics PHD Degree Ph.D. in Computer Science Physics Related Field Statistics Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9