Research Scientist - Meta Recommendation Systems (PhD)

We're seeking talented Research Scientists to join the Meta Recommendation Systems (MRS) Core Modeling team in developing and deploying advancements in machine learning models and recommendation systems that can significantly enhance the recommendation product's experience. As a member of our team, 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. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally.

Responsibilities

Design, develop, and implement novel AI/ML solutions to improve the accuracy, relevance, and overall effectiveness of our 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

Qualifications

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, or related technical fields 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 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)