Research Scientist, Modeling

3 weeks ago

Bellevue, United States Facebook Full time
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.

Research Scientist, Modeling (PhD) Responsibilities:



  • 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


Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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