Research Engineer, Text Data Research - MSL FAIR

Research Engineer, Text Data Research

• MSL FAIR

  Meta
• 4.0 Menlo Park, CA Job Details $154,003
• $217,000 a year 15 hours ago Qualifications Computer science Computer Science PyTorch Big data Spark Apache Hive Mid-level Scalable systems Master's degree SQL Doctoral degree in Computer Science Spark implementation Bachelor's degree Doctor of Philosophy Computer Engineering Natural language processing Developing data pipelines Scalability System architecture design Master's degree in computer science 1 year Machine learning libraries AI Cross-functional collaboration Bachelor's degree in computer science Project leadership Research & development Machine learning frameworks Cross-functional communication Database software proficiency Full Job Description 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. 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 . $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.