Summary: Meta is seeking a Research Scientist to join Monetization Generative AI (MGenAI). In the past year, generative AI has seen some of the most significant breakthroughs ever achieved, particularly in large language models and generative image models. Meta Monetization GenAI’s mission is to lead the charge in generative AI technology and build products that will help businesses become more productive and efficient. The team is particularly focused on image creative generation.Individuals in this role are expected to be recognized experts in AI and machine learning, particularly in areas such as generative AI and computer vision. The ideal candidate will have a keen interest in producing new applied science to make computers more intelligent, and more importantly convert that into production at a large scale.Required Skills: AI Research Scientist - GenAI (PhD) Responsibilities:
Influence progress of relevant research communities by producing publications.
Collaborate on research that enables AI-based image/video synthesis and editing.
Collaborate on research that enables learning the semantics of data (images, video, text, audio, and other modalities).
Contribute research that can be applied to Meta product development.
Collaborate and increase productivity on existing Meta AI projects as a contributing team member.
Minimum Qualifications: Minimum Qualifications:
Currently has or is in the process of obtaining a PhD degree in Computer Science or related field or relevant experience.
Track record of publications that demonstrate experience in a quantitative domain.
Experience collaborating within a team to solve analytical problems using quantitative approaches.
Experience manipulating and analyzing high-volume, high-dimensionality data from varying sources.
Knowledge in a programming language.
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.
Preferred Qualifications: Preferred Qualifications:
First-author publications at peer-reviewed AI conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR).
Experience conducting original research that can be applied to Generative AI research at Meta.
Public Compensation: $117,000/year to $173,000/year + bonus + equity + benefitsIndustry: InternetEqual Opportunity: 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.
