adaption
Founding Forward Deployed Machine Learning Engineer
We captured this posting once, on 2026-08-05, and did not track it afterwards — so we cannot tell you whether it is still open.
- Employer
- adaption
- Location
- San Francisco, CA
- Seniority
- Mid level
- Experience asked for
- 4+ years
- Pay band
- Not disclosed
When we saw it
- Posted 2026-07-10 — the date the employer published it
- Archived 2026-08-05 — when we saved this copy
Found via LinkedIn — US keyword pulls.
Skills the posting named
From the posting
The Role You'll operate at the bleeding edge of our technology and our customers' most consequential problems — simultaneously. You'll sit across from customers who are trying to fundamentally change how their businesses work, figure out where our platform falls short, and build the ML solutions that close the gap. Then you'll do it again for the next customer with an entirely different domain, data landscape, and set of constraints. The problems you solve in the field become the product. Responsibilities Find and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities others miss, then build the solutions that capture them. Ship What's Missing: When the product doesn't cover it, you do. Identify gaps through hands-on customer engagement and implement production-grade ML solutions that fill them. …
An excerpt. The full posting is adaption's. Read it at the original source, if it is still up.
What this tells you about the FDE role
One posting is one data point. Read it alongside the rest of the archive and the market analysis — the seniority you actually need, what the role pays across levels, and which employers hire for it. If you are working out whether your background fits, start with the scorecard.
An Interview Kickstart advisor walks you through where you stand today, the exact gap to close, and the fastest route to a Forward Deployed Engineer offer — built around your background.
Book a call with an advisor →