Research Engineer, Pre-training Data - MSL FAIR

Meta; Menlo Park (CA); Hybrid; USD 170,000 - 250,000; Full time

Job summary

Meta is seeking a Research Engineer in Menlo Park to help build data foundations for its largest language models. You will work on data curation across pre-training, mid-training, and post-training stages, shaping data for models like Llama and collaborating with researchers and engineers across MSL FAIR.

You will design scalable data pipelines, improve data velocity, and apply expertise in data tooling to advance Meta's frontier models in a fast-paced research environment.

Qualifications

• Experience in large language model data curation and preprocessing.
• Background in scalable data pipelines and data tooling.
• Familiarity with agentic data, synthetic data, or web/data parsing for ML.

Responsibilities

• Collaborate with cross-functional teams to develop Meta’s next foundational models.
• Architect efficient, scalable data curation systems and pipelines.
• Improve data velocity across workflows and projects.
• Lead high-priority pre-training, mid-training, or post-training data initiatives.

Job description

# Research Engineer, Pre-training Data - MSL FAIRMenlo Park, CA Engineering+ 2 moreApply nowMeta 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, Pre-training Data - 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