Research Engineer, Monetization AI

About the Role

Meta builds technologies that help people connect, find communities, and grow businesses. The Monetization Ranking AI organization is dedicated to delivering personalized ads that maximize both user utility and advertiser value. The team focuses on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, the team helps Meta’s products achieve long-term goals and has contributed tens of billions in revenue. With growing impact, the team is seeking motivated AI specialists to join and drive state-of-the-art research.

Key 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 next-generation sequence learning techniques to drive advancements in natural language processing and understanding.
• Design and implement generative modeling solutions for data augmentation.
• Research and develop graph-aware large language models.
• Develop and deploy AutoML pipelines.
• Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason.
• Use causal learning to identify and understand the cause and effect of relationships across data.
• Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains.
• 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.

Requirements & Tech Stack

• Programming experience in Python.
• Hands-on experience with frameworks such as PyTorch.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position.
• Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas.

Preferred Qualifications

• First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
• Experience partnering with engineering, product, and data science teams to define requirements, align on priorities, and deliver ML solutions.
• Experience taking ideas from research to production.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
• Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.