Research Scientist, Generative AI (PhD)

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. You 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.Research Scientist, Generative AI (PhD) Responsibilities

• 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.
• Influence progress of relevant research communities by producing publications.
• Collaborate and increase productivity on existing Meta AI projects as a contributing team member.

Minimum Qualifications

• Currently has or is in the process of obtaining a PhD degree in Computer Science or related field or relevant experience
• 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

• First-author publications at peer-reviewed AI conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR) that demonstrate experience in a quantitative domain.
• Experience conducting original research that can be applied to Generative AI research at Meta.

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout 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 and Affirmative Action 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, 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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