AI Research Scientist - Language - Core AI

Meta is seeking a Research Scientist to join Reality Labs XRTech Core AI organization. The organization focuses on developing efficient foundational models as a platform to enable differentiated and delightful user experiences across Reality Labs products. We are seeking a talented AI Research Scientist with experience in natural language processing, language models and general AI to join the team to investigate how to build contextually aware AI that will be the foundation for a new paradigm in how we interact and use AI devices from Reality Labs. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners and access cutting-edge technology, resources, and research facilities.

AI Research Scientist - Language - Core AI Responsibilities:

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
• Define, build and benchmark the efficient foundation models for contextual AI paradigm for various devices in Reality Labs.
• Conduct research towards long-term ambitious research goals while identifying intermediate milestones.
• Conduct research to advance the science and technology of language modeling, natural language processing and generative AI modeling.
• Work with engineering teams to ship state-of-the-art models to product.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• PhD in natural language processing, language modeling or machine learning, model compression, model optimization or related areas.
• 2+ years of industry, academic, or government lab experience in natural language processing, language modeling and/or machine learning , model compression, model optimization or related areas.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience communicating research for public audiences of peers.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• First-authored publications at peer-reviewed conferences (e.g. EMNLP, ACL, NAACL, ICLR, NeurIPS etc).
• 4+ year(s) of work experience in an industry, university, or government lab

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 [email protected].

$147,000/year to $208,000/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.