Research Engineer, Text Data Research - MSL FAIR

Skip to main content Jobs Teams Career Programs Working at Meta Blog Podcasts Jobs Research Engineer, Text Data Research - MSL FAIR Research Engineer, Text Data Research - MSL FAIR Menlo Park, CA Artificial Intelligence + 2 more Apply now Meta is seeking AI research engineers to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for engineers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL. Research Engineer, Text Data Research - MSL FAIR Responsibilities Collaborate with cross-functional teams to develop Meta's next foundational models Architect efficient and scalable data curation systems and pipelines Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling Execute on high priority projects in pre-training, mid-training, or post-training data curation Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization Lead complex technical projects end-to-end Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 1+ year of industry research experience in LLM/NLP or related AI/ML models Experience owning and/or driving complex technical projects from end-to-end Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs Demonstrated data infrastructure and software background, and experience building data tooling and services Published research in leading peer-reviewed conferences (e.g., Neur

IPS, ICML, ICLR, ACL, EMNLP

) and/or demonstrated significant industry influence in the field of AI Preferred Qualifications Experience working on frontier-quality/state-of-the-art Large Language Models Masters degree or PhD in Computer Science or a related technical field Hands-on experience with modeling frameworks like PyTorch Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. For those who live in or expect to work from California if hired for this position, please click here for additional information. $154,003/year to $217,000/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. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here . Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form . Apply for this job Take the first step toward a rewarding career at Meta. Apply now

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