[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Sunnyvale, CA +3 more # Research Scientist, Machine Learning for Monetization (PhD) Sunnyvale, CA +3 more Data & Analytics Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1747806499828365/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Scientist, Machine Learning for Monetization (PhD) ## Job description From making valuable connections between people and businesses to building premium services that deliver high-value experiences, the Monetization organization at Meta empowers people and businesses to succeed in the global economy. As Meta focuses on building the next evolution of social experiences, the Monetization team plays a crucial role in shaping the communication pathways and financial tools that all sized businesses need to thrive in the new digital economic environment. As a Machine Learning Research Scientist on the Monetization team at Meta, you can help build ML/AI technologies that connect users with businesses You’ll help develop solutions that power large-scale platforms and AI innovations to power the Ads-ranking for Meta-scale across all the Meta surfaces. ## Responsibilities - Develop highly scalable classifiers and tools leveraging Machine Learning, data regression, and rules based models Suggest, collect, and synthesize requirements to create an effective feature roadmap - Adapt standard Machine Learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) - Lead and contribute to research that results in tech demos and/or publications - Collaborate closely with cross-functional partners and contribute towards Meta's research product development ## Qualifications 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 Currently has, or is in the process of obtaining, a PhD degree in Machine Learning, Artificial Intelligence, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Experience in Deep Learning algorithms and techniques, e.g., convolutional neural networks (CNN), transformers, quantization, data efficient learning, or similar - Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, or similar Experience on Data Efficient Learning, domain adaptation, Semi-supervised Learning, etc Experience working and communicating cross-functionally in a team environment Exposure to architectural patterns of large scale software applications Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied points of view to determine a path forward - Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days - Location: Sunnyvale, CA +3 more[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1747806499828365/) ## More jobs at Meta Platforms ### [Data Engineer, Technical Leadership (Ranking, AI)](https://jobs.opennash.com/companies/meta-platforms/jobs/7d816c0b9c007a24a846/) Sunnyvale, CA +3 more ### [Data Science Director (IC)](https://jobs.opennash.com/companies/meta-platforms/jobs/ea3924563c3ba7a13210/) Sunnyvale, CA +3 more ### [Software Engineer (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/6d6cb3eae66ed73f06e1/) Sunnyvale, CA +3 more ### [Software Engineer, AI Kernels & Performance Optimization — MTIA Software](https://jobs.opennash.com/companies/meta-platforms/jobs/c60ee1836e609d31e50a/) Sunnyvale, CA +3 more ### [Software Engineer, Systems ML](https://jobs.opennash.com/companies/meta-platforms/jobs/c121bbfd0bee0ae5231e/) Sunnyvale, CA +3 more ## Similar jobs at other companies ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Research Intern - Machine Learning for Biology and Healthcare](https://jobs.opennash.com/companies/microsoft/jobs/726db5a4d5e1cfbdd4bb/) Microsoft · United States, Massachusetts, Cambridge ### [Research Intern - Machine Learning and Statistics](https://jobs.opennash.com/companies/microsoft/jobs/6d9f9818afff6249a01a/) Microsoft · United States, Massachusetts, Cambridge, Washington, Redmond ### [Lead Data Scientist-Machine Learning](https://jobs.opennash.com/companies/huntington-bank/jobs/bd4c12a6627e948783dc/) Huntington Bank · Cleveland, OH Chicago, IL Cincinnati, OH Columbus, OH Minnetonka, MN Akron, OH ### [Machine Learning Scientist / Senior Machine Learning Scientist](https://jobs.opennash.com/companies/alphabet/jobs/3e1e36a5d96b16ef3d6a/) Alphabet · South San Francisco, CA [Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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