Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI, on the Chemistry team. The Chemistry team develops AI-based methods to accelerate materials and molecular discovery for climate and AR/VR applications. The material domains currently being worked on are electro-catalysts for CO2RR & OER, nano-porous materials for direct air capture, and new materials for display technologies.

Lead research to advance the science and technology of intelligent machines

Lead research that enables advances in AI applied to chemistry and material science

Devise better data-driven models of chemistry and materials

Work towards long-term research goals, while identifying intermediate milestones

Influence progress of relevant research communities by producing publications

Contribute research that can be applied to Facebook product development

Lead and collaborate on research projects within a globally based team

Minimum Qualifications

Currently has or is in the process of obtaining a PhD in the field of Machine Learning, Computer Science, Physics, Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta

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 communicating complex research for public audiences of peers

Experience with frameworks such as Pytorch, Jax, or Tensorflow

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

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

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

Experience in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics

Preferred Qualifications

Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Experience solving analytical problems using quantitative approaches

Experience manipulating and analyzing 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

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

Experience working and communicating cross functionally in a team environment

Experience in areas such as deep learning, generative models, graphical models, reinforcement learning, computer perception, natural language processing and data representation

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

$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.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Research Scientist, AI for Science (PhD)

Job Description

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