ML Research Scientist - Monetization & Ads AI

Meta Careers; Sunnyvale, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Meta, Sunnyvale, CA, is seeking a Research Scientist in Machine Learning for Monetization. This PhD-position-adjacent role focuses on developing scalable ML classifiers and tools for monetization strategies, leveraging data regression and rule-based methods.

You will collaborate with cross-functional teams to shape feature roadmaps and publish research demos. The role emphasizes adapting ML techniques to distributed and GPU-accelerated environments, with potential for tech demos and

Qualifications

• Experience building scalable ML models and research prototypes.
• Ability to translate research into practical ML products and demos.
• Familiarity with distributed computing environments (clusters, GPUs) preferred.

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 contemporary parallel environments (distributed clusters, multicore SMP, GPUs).
• Lead and contribute to research that results in tech demos and/or publications.
• Collaborate with cross-functional partners to advance Meta's research product development.

Skills

Machine Learning

Research

Distributed computing

Education

Bachelor's degree in Computer Science/Computer Engineering or equivalent

Job description

Meta, Sunnyvale, CA, is seeking a Research Scientist in Machine Learning for Monetization. This PhD-position-adjacent role focuses on developing scalable ML classifiers and tools for monetization strategies, leveraging data regression and rule-based methods.

You will collaborate with cross-functional teams to shape feature roadmaps and publish research demos. The role emphasizes adapting ML techniques to distributed and GPU-accelerated environments, with potential for tech demos and