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AI Research Scientist - Vision, Language and AI - FAIR

Meta

Posted Friday, April 19, 2024

Posting ID: a1K2K00000905QoUAI_1001_crt:1713524885245

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Seattle, WA
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Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, an organization focused on making significant advances in AI. We are seeking talented researchers with experience in vision-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 computers. 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 - Vision, Language and AI - FAIR Responsibilities:
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
  • Define, build and benchmark new capabilities needed for the next generation of AI.
  • Conduct research towards long-term ambitious research goals while identifying intermediate milestones.
  • Conduct research to advance the science and technology of intelligent machines.
  • Conduct research that enables learning the semantics of data across multiple modalities (images, video, text, audio, speech and other modalities).
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • PhD in computer vision, language, and/or machine learning or related areas.
  • 2+ years of industry, academic, or government lab experience in computer vision, language and/or machine learning
  • 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. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
  • 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 accommodations-ext@fb.com.

Contact Information

Email: at-jobfeeds+meta@careercircle.com

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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