Meta · 22 hours ago
Research Engineer, Monetization AI
Sunnyvale, CA
Full-time
Onsite
Mid, Senior Level
$88.46/hr - $257/hrMeta is a technology company dedicated to building immersive social experiences. They are seeking a Research Engineer specializing in Monetization AI to develop and implement large-scale AI/ML solutions, contributing to personalized ad delivery and optimizing model performance.
Computer Software
Responsibilities
Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning
Design and implement generative modeling solutions for data augmentation
Develop and deploy machine learning pipelines
Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models
Qualification
Required
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Research experience in machine learning, deep learning, natural language processing, and/or recommender systems
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Exposure to architectural patterns of large scale software applications
Preferred
PhD in AI, Computer Science, Data Science, or related technical fields
Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ICCV, CVPR, ACL, EMNLP, RecSys, KDD, WSDM, TheWebConf, ICDM, AAAI)
Direct experience in generative AI, LLMs, RecSys, ML research
Benefits
Has_equity
Has_bonus
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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