Research Scientist

About the Role

We're seeking talented Research Scientists to join the Meta Recommendation Systems (MRS) Core Modeling team. This role involves developing and deploying advancements in machine learning models and recommendation systems to significantly enhance the recommendation product's experience. You will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications.

Key Responsibilities

• Design, develop, and implement novel AI/ML solutions to improve the accuracy, relevance, and overall effectiveness of recommendation models.
• Stay up-to-date with the latest research and developments in the field and apply new scientific discoveries to drive innovation.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Publish research papers and contribute to the development of innovative products that positively impact millions of users worldwide.
• Work on cutting-edge projects and apply relevant AI and machine learning techniques to build intelligent rich speech & language systems.

Requirements & Tech Stack

• Experience developing software and executing complex experiments involving large ML/AI models and datasets.
• Direct experience in AI/ML/NLP research.
• Familiarity with one or more deep learning frameworks (e.g., PyTorch, TensorFlow).
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Qualifications

• Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, or related technical fields.
• 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.

Preferred Qualifications

• Experience working and communicating cross-functionally in a team environment.
• Industry experience working on Recommendations, Ranking, and LLM-related topics.
• Interest in taking new research findings in this area and implementing them towards product needs.
• Experience bringing machine learning-based products from research to production.
• Experience with interdisciplinary and/or cross-collaboration.
• High-impact publications at leading ML/AI conferences and journals (e.g., ICML, ICLR, KDD, NeurIPS).