User Researcher Jobs in California

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.

Research Scientist Intern, User Modeling and Reinforcement Learning (PhD) Responsibilities:

• Conduct original research to advance artificial intelligence and machine learning.
• Explore novel ideas and help shape future research directions.
• Collaborate with researchers and engineers across Meta on ambitious research challenges.
• Bring promising research ideas to life in products used by people and businesses around the world.
• Share research findings through publications and engagement with the broader research community.

Minimum Qualifications:

• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Experience with Python, C++, or another relevant programming language
• Experience conducting research and building systems based on machine learning or deep learning methods

Preferred Qualifications:

• Experience in one or more of self-supervised learning, transformers, temporal sequence modeling, representation learning, or recommender systems
• Experience in reinforcement learning, causal inference, counterfactual evaluation, or learning from delayed and censored outcomes
• Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, KDD, RecSys, and similar conferences or workshops
• Experience manipulating and analyzing complex, high-volume, high-dimensional data and designing controlled machine learning experiments
• Demonstrated software engineering experience through internships, research implementations, or open-source contributions
• Self-directed quantitative problem-solving and experience working and communicating across disciplines in a team environment

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.