The Research Engineer position in Monetization AI at Meta involves developing and implementing large-scale model architectures and machine learning pipelines to enhance personalized advertising. Candidates will work on advanced AI, ML, and recommender systems technologies, contributing to significant revenue growth for Meta's products.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Research experience in machine learning, deep learning, natural language processing, and/or recommender systems
• Experience with developing machine learning models at scale from inception to business impact
• Programming experience in Python and hands-on experience with frameworks such as PyTorch
• Exposure to architectural patterns of large scale software applications

• 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
• Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design
• Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning and generative techniques

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.