Description review
Reducto | Multiple Engineering Roles | San Francisco | ONSITE | Full-time | 200k - 325k + Equity
Reducto · San Francisco · back to the listing
HR standards
35/100
poor
Title ↔ description
50/100
needs work
Reads as
Machine Learning Engineer
87% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
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What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Reducto is the agentic document platform for leading AI teams who need enterprise performance at scale. Most of the world's important information is locked in documents: PDFs, spreadsheets, scanned forms, financial filings. We build the infrastructure that lets AI read and work with them the way a human would, combining custom in-house models with leading frontier models to power accurate, efficient document workflows.
Our customers include AI teams like Harvey, Vanta, and Scale, along with enterprises across FAANG and top trading firms. We've grown revenue 8x year over year, partnered with hundreds of companies, and raised over $100M from a16z, Benchmark, and First Round Capital.
We're still a small team, so every engineer has outsized ownership. You'll work directly with customers and leadership, ship quickly, and solve hard problems across ML, infrastructure, and product that directly shape how AI systems understand the world's documents. We're in person in SF, with free daily lunch, unlimited PTO, generous health coverage, transportation reimbursement, and a monthly wellness budget.
Open roles:
- Forward Deployed Engineer
- Product Engineer
- ML Engineer
- Head of Product Engineering
- Many More!
Apply here: [https://jobs.ashbyhq.com/reducto?utm_source=Qp0OepaMn9]
Our customers include AI teams like Harvey, Vanta, and Scale, along with enterprises across FAANG and top trading firms. We've grown revenue 8x year over year, partnered with hundreds of companies, and raised over $100M from a16z, Benchmark, and First Round Capital.
We're still a small team, so every engineer has outsized ownership. You'll work directly with customers and leadership, ship quickly, and solve hard problems across ML, infrastructure, and product that directly shape how AI systems understand the world's documents. We're in person in SF, with free daily lunch, unlimited PTO, generous health coverage, transportation reimbursement, and a monthly wellness budget.
Open roles:
- Forward Deployed Engineer
- Product Engineer
- ML Engineer
- Head of Product Engineering
- Many More!
Apply here: [https://jobs.ashbyhq.com/reducto?utm_source=Qp0OepaMn9]