The Physical Modeling team at Meta is dedicated to solving complex problems that are at the intersection of physical sciences, engineering, computational statistics, computer science, and mathematics. We collaborate closely with various research and engineering teams, with those focused on data centers and infrastructures, AI research, and social/environmental impacts. As a Research Scientist on our team, you will have the opportunity to work on a wide range of projects, such as numerical modeling of data centers, designing advanced control systems, developing environmentally friendly materials, and monitoring CO2 capture efficiency methods using AI to name a few. To succeed in this role, you should be comfortable working with various engineering and science disciplines, statistics, and computational concepts. You should also have a strong curiosity and interest in understanding the nature of physical and engineering systems, as well as the ability to implement the necessary computational algorithms to capture their complexities and behavior. If you are passionate about using your skills to solve real-world problems and make a positive impact, we encourage you to apply for this exciting opportunity to join our team.

Collaborate with engineering teams and research scientists to identify business opportunities directly relevant to Meta’s infrastructures and products

Rapidly iterate to identify the optimal formulation with a high probability of achieving the desired business outcome

Implement appropriate modeling techniques to deliver effective solutions

Interpret and communicate results to both technical and non-technical stakeholders within the team and other business units

Adhere to best software engineering practices, identifying and utilizing the most suitable internal and external tools and libraries.

Minimum Qualifications

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

PhD degree in Electrical Engineering, Computer Science, Statistics, Computational Physics, or Applied Mathematics.

Have fundamental understanding of physical laws, numerical modeling techniques, advanced control systems, signal processing, and the fundamentals of AI and ML.

Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

Software development experience in Python for research applications.

Experience working and communicating cross functionally in a team environment.

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications

Experience in one or more of the following areas: - Modern control design philosophies (e.g. model-based, state-space modeling, time-series based controllers, fuzzy logics, etc.) and various system interfacing paradigms (e.g. MIMO controllers, etc.) - CFD, finite volume, multi-body, multiscale, multiphysics simulation, surrogate modeling - AI and ML for science (neural operators, PINN, etc.), generative modeling, probabilistic numerics - Spatial statistics, time series analysis, survival analysis, Bayesian statistics

Locations

About 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.

$117,000/year to $173,000/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, 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.

Research Scientist, Modeling (PhD) at Meta