Meta is seeking a Research Scientist to join the Ads Ranking team within the Monetization org to advance the state-of-the-art in AI. We value key investments to ship breakthrough Ads ranking models and infrastructure to enable multiple products through a combination of fundamental research, new ML tools, and platforms which are designed for reuse. Individuals in this role are expected to be recognized experts in identified research areas such as Artificial Intelligence, Machine Learning, Computational Statistics, and Applied Mathematics, particularly including topics such as Deep learning, Data Representation, Sequential Decision Making, Reinforcement learning, and Graph Learning.The ideal candidate will have an interest in producing new science to understand intelligence and technology to make computers smarter, and an equal interest in taking the new research findings 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 and aligned with our core business objectives.
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Research Scientist, AI Core Machine Learning Responsibilities:
- Help advance the science and technology of intelligent machines.
- Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
- 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.
- Identify and define both short and medium term objectives for the Monetization org.
- Produce and present publications that influence the progress of AI or Machine Learning in relevant research communities.
- Design policies, processes, procedures, methods, tests, and/or components, from inception for end-to-end systems.
- Collaborate closely with cross-functional partners and contribute towards Meta's research product development.
- 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.
- Currently has, or is in the process of obtaining a Ph.D. degree in Machine Learning, AI, Computer Science, Statistics, Applied Mathematics, Data Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience in solving modeling problems using AI or ML methodologies.
- Experience with Python, C++, Java, or other related languages.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Research experience in Deep learning, Data Representation, Sequential Decision Making, Reinforcement learning, and/or Graph Learning.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, etc.
- Experience with developing Machine Learning models at scale from inception to business impact.
- Experience working and communicating cross-functionally in a team environment.
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
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.