Research Scientist Intern - User Modeling and Reinforcement Learning
MetaAdded 3h ago
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Quick summaryby newgrad.ai
What you'll do
- Develop AI models to improve ad relevance and user intent understanding.
- Conduct research on long-term decision-making within advertising systems.
- Implement new research concepts into large-scale production environments.
- Execute a focused project with guidance from experienced mentors.
What they're looking for
- Interest in representation learning and reinforcement learning applications.
- Ability to bridge theoretical research with practical product development.
- Availability for 12, 16, or 24-week internship durations.
Meta is seeking Research Scientist Interns to join Core Ads Growth (CAG), where we build AI that improves ad relevance and helps advertisers succeed. Our research focuses on how user intent evolves across interactions and how ads systems can make better decisions when outcomes unfold over days, weeks, or longer.
We are advancing representation learning to better understand how people's interests and intent evolve over time. You will help bring new research ideas into production systems at Meta's scale, shaping more relevant experiences and creating lasting value for people and businesses.
As an intern, you will own a focused research project with close mentorship from researchers and engineers. The work connects new ideas to rigorous experiments and applications in Meta's ads systems, with opportunities to contribute to scientific publications and product development.
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long, with various start dates throughout the year.
From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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