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Research Scientist
| Company | Meta |
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| Location | Menlo Park, CA, USA |
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| Salary | $214032 – $240240 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Requires a Master’s degree (Or Foreign Degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Computational Sciences, or a related field.
- Requires completion of a graduate-level course, research project, or internship 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 and dimensionality data from varying sources 4. Communicating complex data research in a clear, precise, and actionable manner 5. Researching 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 such as images, video, text, audio, or other modalities, and also 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 like 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 Python.
Responsibilities
- Research, identify, and analyze data and data patterns.
- Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of company 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 and business intelligence standpoint.
Preferred Qualifications
No preferred qualifications provided.
