Meta · 11 hours ago
Research Scientist, Reinforcement Learning (PhD)
New York, NY
Full-time
Onsite
Mid, Senior Level
$122K/yr - $181K/yrMeta is a technology company that builds platforms to connect people and foster communities. The AI Research Scientist role focuses on conducting advanced research and developing machine learning models to enhance Meta's products through improved recommendations and user experiences.
Computer Software
Responsibilities
Collaborate, and execute on research that pushes forward the state of the art in large language model research
Directly contribute to experiments, including designing experimental details, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Help identify long-term research goals as well as intermediate milestones
Prioritize research that can be applied to Meta's product development
Qualification
Required
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred
Experience with applying reinforcement learning techniques to production scale systems
Experience in ranking, recommendation, or auction systems
Prior work bridging academic research and real-world applications
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences
Experience working and communicating cross functionally in a team environment
Benefits
Bonus
Equity
Benefits
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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