Research Engineer, MRS AI

Meta is seeking a Research Engineer to join our Meta Recommendation Systems (MRS) AI Algorithm Team. Join us to build Meta’s User Intelligence Engine — a unified platform that models who the user is, what they need, and why they act by integrating state, representation, reasoning, and multi-architecture modeling to power Meta’s Recommendation System with personalized, context‑aware experiences across the ecosystem.

We’re bringing together two powerhouses: – Generative AI/LLMs for semantic understanding and reasoning – Meta’s world‑class ads & organic ranking expertise for optimized decision‑making  part of a rapidly growing ML team, you’ll shape the next generation of User Understanding models and Meta Recommendation Systems, delivering personalization that feels intuitive, adaptive, and truly human.

• 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 Gen 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

• 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
• 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 Py Torch
• Exposure to architectural patterns of large scale software applications

• 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 in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• A PhD in AI, computer science, data science, or related technical fields
• First author publications at peer‑reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, Rec Sys, SIGIR, KDD, WSDM, The Web Conf , ICDM, ACL, EMNLP, NAACL, AAAI, ICCV, CVPR)
• Direct experience in generative AI, LLMs, Rec Sys, ML research
• Experience with developing large-scale machine learning models from inception to business impact

$121,992/year to $181,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at