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Form of workMeta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, machine learning, computational design / EM, computer vision, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.The mission of Meta FAIR's AI Guided Design research is to achieve fundamental breakthroughs in the field of scientifically / physics informed AI. These breakthroughs will power advances across the field of optics, but particularly in the design of optical devices and metamaterials, e.g., photonic integrated circuits. Working with world class computational experts in both AI and optics, we are using AI to design and discover the next generation of optical metamaterials.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
- Perform state of the art research to advance physics-guided generative AI models.
- Perform research that enables learning the semantics of data (metamaterial designs, EM response fields, images, and other modalities).
- Devise better data-driven models of AI metamaterial design and optimization.
- Directly contribute to experiments around training generative AI models, including designing experimental details, writing reusable code, running evaluations, and organizing the results.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
Minimum Qualifications:
- Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Computational Electromagnetics, Topology Optimization, Artificial Intelligence, or relevant technical field.
- Research experience in one or more of these areas: generative AI, computer vision, physics-informed neural nets (PINN), or scientifically-guided AI.
- Experience applying artificial intelligence to a scientific domain such as computational photonics, computational design, computational chemistry, etc.
- Experience devising data-driven models and real-system experiments and design implementation for AI design and optimization.
- Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures.
- Experience with Python, C++, C, Julia, or other related language.
- Experience with deep learning frameworks such as Pytorch, Jax, or Tensorflow.
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Intent to return to degree program after the completion of the internship/co-op.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, CVPR, ICCV, ICLR, or similar.
- Experience working with real world manufacturing constraints.
- Experience solving analytical problems using quantitative approaches.
- Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources.
- Experience in utilizing theoretical and empirical research to solve problems.
- Experience doing optimization based on machine learning and/or deep learning methods.
- Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience working and communicating cross functionally in a team environment.
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 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.
