AI Research Scientist, CoreML - Monetization jobs in United States
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Meta · 4 hours ago

AI Research Scientist, CoreML - Monetization

Meta is a leading technology company focused on connecting people and building immersive experiences. The AI Research Scientist in the CoreML - Monetization team will engage in high-impact research initiatives to innovate and redefine Meta's monetization strategies, particularly through generative sequence modeling for recommender systems.

Computer Software
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Comp. & Benefits

Responsibilities

Extracting meaningful signals from both 1st-party and 3rd-party data sources
Advancing representation learning
Scaling solutions to efficiently process hundreds of billions of data points
Driving continuous algorithmic innovation
Seamlessly productionizing research breakthroughs all while optimizing serving costs

Qualification

Machine LearningPythonLLM/NLPPyTorchPublicationsTechnical LeadershipCausal LearningSequence LearningGraph LearningCollaboration

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in Computer Science, Machine Learning, or a relevant technical field
3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training
Experience as a technical lead on a team and/or leading complex technical projects from end-to-end
Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

A track record of impactful research in the ranking/retrieval/recommendation space, as demonstrated by publications, open-source contributions, or real-world deployments
First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
Experience in pre-training, post-training, fine-tuning models
Experience in causal learning, sequence learning, classification, neural networks, graph learning, items associated, in-depth content understanding (user behavior, user interaction)
Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
Willing to collaborate with others in a productive, interdisciplinary environment

Benefits

Bonus
Equity
Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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Company data provided by crunchbase