HR Pundits
Senior AI Data Engineer III
Menlo Park, San Mateo County · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Even the top of this range is below the Level II threshold of $142,438, so this role stays at one lottery entry however you negotiate. That is a property of the posted band, not of you.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Third-party placement is common here
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Job Title: Senior AI Data Engineer III/ Preferred Ex Meta Location: Menlo Park -Onsite - Hybrid Salary: $125 to 130K Summary Generative AI models are only as good as the data they consume. Unlike traditional data engineering, building data pipelines for generative AI requires orchestrating ML model invocations (content understanding classifiers, embedding
- models, LLM-based cleaners) alongside standard SQL-based transformations, all at billion-row scale. This role sits at the intersection of Dat…
Nice to have
- $125 to 130K Summary Generative AI models are only as good as the data they consume.
- This role sits at the intersection of Dat…
Compensation
- $125k-$130k
This listing is sourced directly from HR Pundits's careers page and normalized into a canonical job model.