Research Engineer, MRS AI

Meta is seeking a Research Engineer to join our Meta Recommendation Systems (MRS) AI Algorithm Team. The role involves developing large-scale model architectures and implementing innovative solutions to enhance Meta's Recommendation System for personalized user experiences. Responsibilities: Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques; Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability; Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning; Design and implement generative modeling solutions for data augmentation; Develop and deploy machine learning pipelines; Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models Qualifications: Research experience in machine learning, deep learning, and/or recommender systems, natural language processing; Programming experience in Python and hands-on experience with frameworks such as PyTorch; Exposure to architectural patterns of large scale software applications Required Skills: Machine Learning, Deep Learning, Recommender Systems, Natural Language Processing, Python, PyTorch, Large Scale Software Architecture, Generative AI, Large Language Models, Sequence Learning, Transfer Learning, Data Augmentation