Research Engineer, FAIR Data for Foundation Models

Meta; Menlo Park (CA); On-site; USD 210,000 - 260,000; Full time

Job summary

Meta is seeking Research Engineers to help build the data foundation for Meta's most advanced Large Language and Media Models. Based in Menlo Park, CA, you will work on data at scale, spanning web, code, image, video, and multilingual domains.

The role emphasizes collaboration across Meta Superintelligence Labs and FAIR to push beyond current data ceilings. You will architect scalable data curation systems, improve data velocity, and contribute to pre-training, mid-training, or post-training

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 video/image perception or generation, OCR, agentic data, synthetic data, multilingual data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization.

Skills

Data curation

Data pipelines

Cross-functional collaboration

Video/image processing

OCR

Synthetic data

Multilingual data

Reasoning data

Web parsing

Coding data

Job description

Meta is seeking Research Engineers to help build the data foundation for Meta's most advanced Large Language and Media Models. Based in Menlo Park, CA, you will work on data at scale, spanning web, code, image, video, and multilingual domains.

The role emphasizes collaboration across Meta Superintelligence Labs and FAIR to push beyond current data ceilings. You will architect scalable data curation systems, improve data velocity, and contribute to pre-training, mid-training, or post-training