Contextual AI
Computer Science Research - US - IC5 Responsibilities:
- Conduct research to advance the state of the art in language models, NLU, NLG, question answering, and information extraction, with a focus on AR/VR applications
- Design and execute experiments, including coding, evaluation, and analysis of results
- Collaborate closely with cross-functional teams of researchers, engineers, and product managers within RLR and Meta
- Contribute to scientific publications, internal knowledge sharing, and open-source projects
- Support the identification of research goals aligned with the Surreal team’s product and technology roadmap
- Participate in mentoring and knowledge transfer within the team
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Technical skills in building and experimenting with deep learning models or data pipelines
- Ability to independently define and execute research projects
- Solid track record of delivering research outcomes
- Advanced degree (Master’s or PhD preferred) in Computer Science, Computational Linguistics, or related fields
- Experience with NLP, large language models, or related AI research
- Familiarity with research publication processes is a plus
Preferred Qualifications:
- Experience collaborating in cross-functional teams, including product, engineering, and research
- Experience building text-to-video generative models, image-to-video generative models, video understanding models, and/or unified native video generative models
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@meta.com.
$154,000/year to $217,000/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.
