FreshRemote.Work

Research Scientist

Menlo Park, CA | Remote, US

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
  • 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.
  • Telecommuting is permitted anywhere in the U.S.
Minimum Qualifications
  • Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field. Requires completion of one graduate-level course, one research project, or one internship involving each of the following skills:
  • 1. Algorithms, data structures, or systems software
  • 2. Solving analytical problems using quantitative approaches
  • 3. Communicating complex research in a clear, precise, and actionable manner
  • 4. Java, C++, Perl, PHP, or Python.
LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $192,668/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly 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. Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Telecommuting is permitted anywhere in the U.S.

Benefits/Perks

Benefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs

Tasks
  • Analyze and resolve computer challenges from a system engineering standpoint
  • Build algorithms using machine learning, statistics, or other data techniques
  • Create tools for migrating user data across systems
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions
  • Design new optimization algorithms and techniques
  • Implement large-scale distributed software systems
  • Research and develop solutions to computer software and hardware problems
  • Resolve computer challenges from a system engineering standpoint
  • Select methods and techniques for obtaining solutions
  • Train new ranking models
  • Utilize technical research background for training new ranking models and running experiments
  • Work on problems of diverse scope
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
Skills

Algorithms C C++ Computer Science Data Structures Data techniques Design Distributed software systems Engineering Java Machine Learning Optimization Optimization algorithms Perl PHP Python Recruiting Research Statistics Systems software Technical Web

Education

Analytics Applied Sciences Computer Science Computer Software Design Engineering Information Systems Master Master's degree Master’s Degree in Computer Science Mathematics Physics Related Field Statistics Technology

Timezones

America/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