AI Research Scientist, MRS Knowledge

Meta; Menlo Park, New York (CA, NY); On-site; USD 180,000 - 250,000; Full time

Job summary

Meta seeks an AI Research Scientist to conduct novel research and develop advanced ML models, focusing on large language models, retrieval, and ranking to power personalized recommendations across Facebook, Instagram, Threads, and more.

The role bridges academic research and real-world applications, requiring collaboration across teams and the ability to work in production-scale systems. Applicants should be prepared for work authorization and possess related degrees.

Qualifications

• Bachelor's degree completed prior to joining Meta
• PhD or in-progress PhD in CS/AI/Data Science or related field

Skills

Cross-functional teamwork

Reinforcement learning (production)

Ranking/recommendation systems

Academic to practical translation

Education

Bachelor's degree (CS/related)

PhD in CS/AI/Data Science

Job description

The AI Research Scientist role conducts novel research and develops advanced machine learning models, particularly in large language models, and recommendation systems, to drive innovation in content and user understanding, retrieval, and ranking. These deliverables directly enhance Meta’s products by powering more accurate, efficient, and personalized recommendations across Facebook, Instagram, Threads, and other platforms. By advancing AI research and development, the role supports Meta’s business growth, improves user experiences, and enables scalable solutions that benefit Meta’s customers and people.

• 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
• Experience working and communicating cross-functionally in a team environment
• Experience with applying reinforcement learning techniques to production scale systems
• Experience in ranking, recommendation, or auction systems
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences
• Prior work bridging academic research and real-world applications