Research Engineer,Monetization AI Job Springfield area,Illinois USA,Software Development

Summary

We are the Monetization Ranking and Foundational AI organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML and Rec Sys technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting‑edge AI/ML/Rec Sys advancements, we help Meta’s products achieve long‑term goals and have contributed tens of billions in revenue.

With our growing impact, we’re seeking AI/ML/Rec Sys specialists to join our team and drive SOTA research and production across the Monetization organization.

Research Engineer, Monetization AI 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 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

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

Minimum Qualifications

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 Py Torch

Exposure to architectural patterns of large‑scale software applications

Preferred Qualifications

PhD in AI, Computer Science, Data Science, or related technical fields

Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

First author publications at peer‑reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ICCV, CVPR, ACL, EMNLP, Rec Sys, KDD, WSDM, The Web Conf , ICDM, AAAI)

Direct experience in generative AI, LLMs, Rec Sys, ML research

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

Public Compensation

$183,997/year to $257,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

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

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