Research Scientist
Menlo Park, CA
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Research Scientist Responsibilities
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
- Perform research and develop solutions to computer software and computer hardware problems in Facebook Marketplace Machine Learning System.
- 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.
- Use statistical methods to perform deep analysis on experiment and production user behavior to suggest future development iterations for the team.
- Lead cross functional working groups to deliver complicated long-term projects.
- 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.
- Requires a Ph.D. degree in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, 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, recommendation systems, signal processing, and data mining
- 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. Conducting research, preparing findings for publication
- 8. Adapting standard computational methods to best enterprise modern parallel environments in one of the following: 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.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Categories:
Data Science Jobs
Research Jobs
Tags: Computer Science Data Mining Engineering GPU Java Machine Learning Mathematics Perl PHP Physics Python Research Statistics VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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