Fundamental AI Research Scientist, Language - FAIR

Meta is seeking a Research Scientist to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. You will use your recognized expertise in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly and including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation. You will have influence and impact through keen interests in producing new science to understand intelligence and technology to make computers more intelligent.Fundamental AI Research Scientist, Language - FAIR Responsibilities

• Perform research to advance the science and technology of intelligent machines
• Perform research that enables learning the semantics of data (images, video, text, audio and other modalities)
• 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 Meta's product development
• Open source high quality code and produce reproducible research

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.
• Ph.D. and publications in AI, computer science, data science, or related technical fields.
• First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, ACL, EMNLP, and other similar venues
• Experience holding a postdoctoral, faculty, industry, or government researcher position
• Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.
• Experience in developing and debugging in Python or similar programming languages.
• Experience communicating research for public audiences of peers
• Experience in theoretical and empirical research and for addressing research problems
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• 1+ years of work experience in a university, industry, or government labs, in a role with primary emphasis on AI research
• Experience collaborating in a team environment on research projects.
• Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, or coding competitions.

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.
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