Adaption
0 open Forward Deployed Engineer roles at Adaption, plus 1 closed. Curated with comp bands.
On the board since Jul 2026 · no roles open right now
Our take
Why Adaption
A founding forward-deployed ML seat at Sara Hooker's contrarian 'smaller, adaptive models' lab — high scope, zero playbook, three continents.
- FDE type
- True forward-deployed
- Travel
- High
- Comp
- Undisclosed
- Stage
- Early-stage
A good fit if you're…
- ML engineers who want founding scope at a research lab
- People excited by adaptive/efficient models over scale
- Candidates in Singapore or India wanting frontier-lab work locally
What they do
Adaption (Adaption Labs) was founded by Sara Hooker, former VP of AI research at Cohere and ex-Google, with Sudip Roy. It raised a reported $50M seed led by Emergence Capital and bets that smaller models that keep learning after deployment beat ever-bigger static ones; it launched AutoScientist, an automated fine-tuning system, in May 2026.
What “forward deployed” means here
This is the founding FDE hire: you stand up the forward-deployed function and sit where the lab's adaptation technology meets customers' hardest problems. Because the product is fine-tuning and continuous adaptation, the work is genuinely ML-heavy — data, evals and training loops at the customer — not API glue.
Comp & leveling
No band is posted. A $50M seed gives room for a solid founding package, but expect equity to be the main lever; ask how comp is set across SF, Singapore and India, since geo-banding will vary widely.
Growth signals
An unusually large seed and a research-credible founder give it runway and hiring pull. The contrarian bet cuts both ways: if efficient adaptation wins, you're early at the defining lab; if scale keeps winning, the product must find a narrower enterprise niche.
Analysis updated 2026-09-25
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