[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Meta Platforms · Bellevue, WA # Research Engineer, Monetization AI Bellevue, Washington, US Full-time Research & Science Listed on Meta Platforms’s official careers site. Posted July 17, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/2242253133243336/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Engineer, Monetization AI ## Job description We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus 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, we help Meta’s products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we’re seeking motivated AI specialists to join our team and drive state-of-the-art research across the Monetization organization. ## 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 ## 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 Programming experience in Python and 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 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 ## At a glance - Posted by the employer: Jul 17, 2026 - First seen by OpenNash: Nov 8, 2026 - Last checked: Nov 8, 2026 - Listed for: 114 days - Location: Bellevue, Washington, US - Employment type: Full-time[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/2242253133243336/) ## Hiring at Meta Platforms - Open jobs: 1,340 - New in the last 7 days: After two weekly collections - Tracked since: Jul 11, 2026 [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Meta Platforms ### [Research Scientist Intern, Foundation Model Optimization (PhD)](https://jobs.opennash.com/companies/meta-platforms/jobs/17e3eedeb2495a3f536d/) Bellevue, Washington, US ### [Senior Program Manager, In-Market Testing & Insights](https://jobs.opennash.com/companies/meta-platforms/jobs/b594f3a0f2cdca15f148/) Bellevue, Washington, US ### [Research Engineer, PAR Safety (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/4294a7cefd6d8c7bfe92/) Menlo Park, CA ### [Research Engineer, PAR Safety (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/3f7344a696485bea1402/) Menlo Park, CA +1 more ### [Research Engineer, PAR Safety - Meta Superintelligence Labs](https://jobs.opennash.com/companies/meta-platforms/jobs/bb07aa8b50e678a501ce/) Menlo Park, CA ## Similar jobs at other companies ### [Senior Product Designer, Monetization](https://jobs.opennash.com/companies/microsoft/jobs/2e4a2163166bd284fa84/) Microsoft · United States, Washington, Redmond, California, Mountain View ### [Principal Product Manager - Monetization Product, Privacy](https://jobs.opennash.com/companies/microsoft/jobs/38b1b7413aa6e7872b06/) Microsoft · United States, California, Mountain View, Washington, Redmond ### [Strategic End-of-Life Monetization Planner](https://jobs.opennash.com/companies/oracle/jobs/20fedcf21ac584d02af0/) Oracle · Santa Clara, CA, United States ### [Strategic End-of-Life Monetization Planner (IC4)](https://jobs.opennash.com/companies/oracle/jobs/c64cfda11e5f11b0d788/) Oracle · Nashville, TN, United States ### [Product Manager II, YouTube Creator Monetization](https://jobs.opennash.com/companies/alphabet/jobs/1d4a5cbdebc0b4ef3544/) Alphabet · San Bruno, CA, USA [Jobs in Bellevue, WA](/locations/us/wa/bellevue/)[Jobs in Washington](/locations/us-wa/)[Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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