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Research Engineer, Text Data Research - MSL FAIR

Meta - Menlo Park, CA

Posted Jun 7, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
Not verified
Verification
Not verified checked Jun 7, 2026
Salary
$184K-$257K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

89% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Research Engineer, Text Data Research - MSL FAIR Menlo Park, CA 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. 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

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