| Role family | Postings | Median midpoint |
|---|---|---|
| engineering | 3 | $170,000 |
| data / ml | 2 | $257,500 |
| support / ops | 2 | $152,500 |
| Title | Location | Low | High |
|---|---|---|---|
| Staff ML Engineer, Agent Training & Environments | San Francisco Bay Area | $250,000 | $280,000 |
| Forward Deployed Research Scientist | San Francisco Bay Area | $200,000 | $300,000 |
| Forward Deployed Engineering Manager | San Francisco Bay Area | $190,000 | $250,000 |
| Managing Partner | San Francisco Bay Area | $200,000 | $230,000 |
| Forward Deployed Engineer, RL Environments | San Francisco Bay Area | $140,000 | $200,000 |
| Member of Technical Staff | San Francisco Bay Area | $140,000 | $200,000 |
| Recruiting Operations Specialist (Contract) | San Francisco Bay Area | $80,000 | $100,000 |
Across 7 postings that state a pay range, the median midpoint is $215,000. The middle 50% sits between $170,000 and $235,000, and the 90th percentile is $256,000. All figures are annualised and converted to USD.
7 of the postings we read from greenhouse carried a range on the day we measured (2026-10-24). The rest did not publish pay at all, so they are not in these numbers.
engineering is the largest family in this sample (3 postings, median $170,000). The table above lists every family we saw and the highest individual ranges.
No. This is what the company itself published in its job postings, normalised to a yearly USD range. Real offers vary by level, location and equity, and many postings omit pay entirely.
These 7 rows are part of one CSV covering every company we read: the full dataset (salary-ranges-full.csv) under CC BY 4.0. Or pull it into Python:
pip install https://sjdfi0wjvosdju9.github.io/packages/salaryranges-0.1.2-py3-none-any.whl
import salaryranges
salaryranges.by_company("labelbox")If you want the same numbers refreshed on a schedule, including the postings that never publish pay, that is the paid part: ATS Job Feed ($0.0015 per returned job).