Research Engineer, Text Data Research - MSL FAIR
full-time•Menlo Park•$8k - $257k
About this role
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.
$88.46/hour to $257,000/year + bonus + equity + benefits
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
- 2+ years of industry research experience in LLM/NLP or related AI/ML models
- Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
- 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., NeurIPS, 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
$88.46/hour to $257,000/year + bonus + equity + benefits
What you'll do
- Collaborate with cross-functional teams to develop foundational models and architect scalable data curation systems. Lead complex technical projects and improve data velocity across workflows.
About Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
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Frequently Asked Questions
What does Meta pay for a Research Engineer, Text Data Research - MSL FAIR?
Meta offers a competitive compensation package for the Research Engineer, Text Data Research - MSL FAIR role. The salary range is USD 9k - 257k per year. Apply through Clera to learn more about the full compensation details.
What does a Research Engineer, Text Data Research - MSL FAIR do at Meta?
As a Research Engineer, Text Data Research - MSL FAIR at Meta, you will: collaborate with cross-functional teams to develop foundational models and architect scalable data curation systems. Lead complex technical projects and improve data velocity across workflows..
Is the Research Engineer, Text Data Research - MSL FAIR position at Meta remote?
The Research Engineer, Text Data Research - MSL FAIR position at Meta is based in Menlo Park, California, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Research Engineer, Text Data Research - MSL FAIR position at Meta?
You can apply for the Research Engineer, Text Data Research - MSL FAIR position at Meta directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.