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Meta

Research Scientist, AI for Science (PhD)

Meta, San Francisco, California, United States, 94199

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Research Scientist, AI for Science (PhD)

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Research Scientist, AI for Science (PhD)

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Meta Research Scientist, AI for Science (PhD)

Join to apply for the

Research Scientist, AI for Science (PhD)

role at

Meta This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$117,000.00/yr - $173,000.00/yr 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.

Research Scientist, AI for Science (PhD) Responsibilities:

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

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 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.

$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. Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

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