Meta · 11 hours ago
Research Scientist, Machine Learning for Monetization (PhD)
New York, NY
Full-time
Onsite
Mid, Senior Level
$122/hr - $181/hrMeta builds technologies that help people connect, find communities, and grow businesses. As a Machine Learning Research Scientist on the Monetization team, you will develop cutting-edge ML/AI technologies to connect users with businesses and power next-generation platforms and AI innovations for Meta's Ads-ranking.
Computer Software
Responsibilities
Develop highly scalable classifiers and tools leveraging Machine Learning, data regression, and rules based models
Suggest, collect, and synthesize requirements to create an effective feature roadmap
Adapt standard Machine Learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Lead and contribute to cutting-edge research that results in industry-leading tech demos and/or publications
Collaborate closely with cross-functional partners and contribute towards Meta's research product development
Qualification
Required
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 PhD degree in Machine Learning, Artificial Intelligence, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Experience in Deep Learning algorithms and techniques, e.g., convolutional neural networks (CNN), transformers, quantization, data efficient learning, or similar
Preferred
Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
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, or similar
Experience working and communicating cross-functionally in a team environment
Experience on Data Efficient Learning, domain adaptation, Semi-supervised Learning, etc
Exposure to architectural patterns of large scale software applications
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied points of view to determine a path forward
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Founded in 2004
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
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