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Computational Research Specialist

2 months ago


Redmond, Washington, United States META Full time

About Meta Platforms, Inc.
Meta Platforms, Inc. (formerly Facebook Inc.) is at the forefront of developing technologies that foster connections, build communities, and enhance business growth. Since its inception in 2004, Meta has revolutionized the way individuals interact. With innovative applications such as Messenger, Instagram, and WhatsApp, Meta has empowered billions globally. The company is now advancing beyond traditional 2D interfaces into immersive realms like augmented and virtual reality, paving the way for the next generation of social technology.

Key Responsibilities of a Computational Research Specialist

  • Conduct in-depth research and devise solutions for software and hardware challenges.
  • Innovate and refine optimization algorithms and methodologies to elevate the performance and efficiency of Meta's platforms.
  • Architect and execute large-scale distributed software systems capable of handling numerous complex requests concurrently and reliably.
  • Leverage technical research expertise to train new ranking models and execute experimental studies.
  • Develop tools for the seamless migration of extensive user data across systems to support new product initiatives, scalability projects, and core infrastructure advancements.
  • Employ machine learning, statistical analysis, and other data-driven techniques to formulate algorithms.
  • Gather, analyze, and synthesize system requirements from stakeholders to create effective feature roadmaps.
  • Diagnose and resolve technical challenges from a systems engineering perspective.
  • Engage with diverse problems where data analysis necessitates the evaluation of various identifiable factors.
  • Exhibit sound judgment in selecting appropriate methods and techniques for problem-solving.

Minimum Qualifications

  • A Master's degree in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related discipline is required.
  • Completion of coursework, internships, or research projects in the following areas:
    • 1. Algorithms, data structures, or systems software
    • 2. Analytical problem-solving using quantitative methods
    • 3. Clear and precise communication of complex research findings
    • 4. Proficiency in programming languages such as Java, C++, Perl, PHP, or Python
    • 5. Planning, executing, and analyzing room acoustics measurements
    • 6. Research in geometric acoustics, room acoustics simulation, and real-time rendering of room reverb
    • 7. Designing and implementing real-time audio rendering algorithms
    • 8. Adapting simulation techniques for parallel environments, including multicore computing and GPUs
    • 9. Creating and executing simulation models for numerical methods, including Monte Carlo simulations, and processing and analyzing results.