AI Research Scientist, Pre-training Data - MSL FAIR
- Location
- Menlo Park, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 29 days ago
Skills & highlights for this role
- large language models
- data curation
- synthetic data generation
Also useful
- pre-training data pipelines
- trillion-scale data processing
About Meta
Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for researchers 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.
From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Where is the AI Research Scientist, Pre-training Data - MSL FAIR job at Meta located?
This AI Research Scientist, Pre-training Data - MSL FAIR position at Meta is located in Menlo Park, CA (On-site). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for AI Research Scientist, Pre-training Data - MSL FAIR at Meta?
For the AI Research Scientist, Pre-training Data - MSL FAIR role, Meta highlights experience with large language models, data curation, synthetic data generation. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the AI Research Scientist, Pre-training Data - MSL FAIR position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.