AI Research Scientist – Monetization

Meta is seeking a Research Scientist to join our AI organization. You will have an interest in producing new science to understand intelligence and technology to make computers smarter, and an equal interest in taking new research findings in this area and implementing it towards product needs.


Our mission is to cultivate enduring business growth and amplify efficiency through the development of state of the art AI technology, designed to address intricate monetization problems, aligned with our core business objectives.AI Research Scientist – Monetization Responsibilities

• Help advance the science and technology of intelligent machines
• Contribute to research that enables learning the semantics of data
• Lead research to advance the science and technology of deep learning
• Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short & medium term objectives
• Influence progress of relevant research communities by producing publications
• Establish connection with cross-functional partners and contribute research with the goal of applying to Meta's product development
• Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems

Minimum Qualifications

• 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.
• Ph.D. in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
• Proven track record of consistent publication and citation history
• Experience in solving modeling problems using AI/ML approaches
• Experience in applying research to production problems
• Experience presenting research for public audiences and peers
• Experience in developing and debugging in Python, C/C++, or C#
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, and computational statistics, particularly including areas such as deep learning and data representation, sequential decision making, graph learning, reinforcement learning.

Preferred Qualifications

• 2+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research.
• Experience in working with large scale recommendation systems such as ads, content recommendation, etc.
• First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI).
• Experience with interdisciplinary and/or cross-organization collaboration.
• Experience bringing machine learning-based products from research to production.

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.