Applied Research Scientist

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.Applied Research Scientist Responsibilities

• Apply quantitative and computational expertise using machine learning, statistics and operations research to bring in step-level improvements in efficiency and scalability across the entire suite of enterprise products.
• Work independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value, to Meta’s Enterprise Products.
• Work cross-functionally to define problem statements, collect data, build analytical models and deploy them at scale.
• Initiate and drive applied research projects to completion with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis.
• Build pragmatic, scalable, and statistically rigorous scientific solutions for large-scale enterprise problems by leveraging or developing state of the art machine learning and optimization methodologies on top of Meta's unparalleled data infrastructure.
• Design and conduct experiments to solve analytical problems and build models using quantitative, statistical or machine learning approaches.
• Apply theoretical expertise and innovation to create or apply new technology, such as identifying new opportunities that will grow the enterprise product’s long-term roadmap and bring productivity gains for the enterprise.
• Use machine learning, natural language understanding, computer vision, statistics and/or mathematical programming tools and techniques to perform data extraction, clean analysis and presentation for medium to large datasets.
• Apply excellent communication skills in order to develop cross-functional partnerships and spread scientific best practices.
• Ability to evaluate trade-offs between different machine learning solutions.
• Ability to conduct A/B test to compare online performance of already shipped models and newly
  trained models to make launch recommendations.
• Experience with Python.

Minimum Qualifications

• Requires a Master’s degree in Computer Science, Cognitive Neuroscience, Mathematics, Quantitative Biology, Statistics, Physics, Applied Sciences, or a related field.
  Position also requires completion of a university-level course/research project/internship/thesis, or 6 months of experience in the following:
• 1. Machine learning, natural language understanding, computer vision, statistics, or mathematical programming tools and techniques
• 2. Performing data extraction, cleaning, analysis and presentation for medium to large datasets
• 3. Programming languages such as Python, R, Java, or C++
• 4. Experience writing SQL queries
• 5. Scientific computing and analysis packages such as NumPy, SciPy, Pandas, dplyr, or ggplot2
• 6. Machine learning libraries and packages such as PyTorch, Scikit-learn, TensorFlow, or Keras
• 7. Knowledge with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering, or regression analysis
• 8. Devising data-driven models for improving productivity
• 9. Communicating complex research in a clear, precise, and actionable manner
• 10. Experience with algorithms, data structures, or systems software.

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. 209.720 $/year to 235.400 $/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.