Research Scientist, Monetization Ranking AI (PhD)

The Monetization Ranking AI team is a critical part of Meta's Ads organization responsible for developing and deploying state-of-the-art artificial intelligence (AI) models that power the company's advertising business. 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. The team's primary focus is on building and optimizing AI systems that can accurately predict user behavior, preferences, and intent, in order to deliver highly relevant and personalized ads. The Monetization Ranking AI team is seeking a Research Scientist to work on cutting-edge research in large capacity model efficiency.

As a key member of our research team, you will be responsible for advancing the state-of-the-art (SOTA) in efficient training and deployment of large-scale machine learning models. Your expertise will help us push the boundaries of what is possible with AI and drive innovation in our products and services.Research Scientist, Monetization Ranking AI (PhD) Responsibilities

• Perform research on large capacity model efficiency.
• Developing novel algorithms and techniques for efficient training and deployment of large-scale models.
• Investigating new architectures and paradigms for scalable and efficient model design.
• Explore the application of emerging technologies such as quantum computing, neuromorphic computing, or other non-traditional computing paradigms.
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
• Produce and present publications that influence the progress of AI or Machine Learning in relevant research communities.
• Collaborate closely with cross-functional partners and contribute towards Meta's research product development.

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.
• Research experience in Machine learning, Artificial intelligence, and optimization algorithms.
• Experience with large-scale machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Experience with large scale AI systems, including but not limited to distributed computing frameworks (e.g. Pytorch) and high performance computing architectures (e.g. GPU)
• Experience with Python, C++, Cuda, Triton, or other relevant languages.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications

• 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 with large capacity model training and deployment (e.g., distributed training, model parallelism)
• Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures.
• Experience with GPU acceleration techniques (e.g., Cuda, Triton)
• 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, MLSys, CCS, IEEE S&P, or other similar venues
• Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Experience working and communicating cross-functionally in a team environment.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

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.

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