On-Device ML Engineer, Federated Learning
Build federated and on-device learning so models improve without centralising sensitive neural or operational data.
What you’ll do
Design federated update loops, evaluate drift and leakage risk, and ship learning that stays on the device whenever it can.
What you’ll bring
On-device ML, federated learning, or privacy-preserving training experience. Strong Python plus mobile/embedded deployment.
Apply for On-Device ML Engineer, Federated Learning — Manchester/Los Angeles
A founder reads every application. CV required.
First name Last name
Apply for On-Device ML Engineer, Federated Learning — Manchester/Los Angeles
A founder reads every application. CV required.
First name Last name Email Phone LinkedIn (optional) Cover letter CV (PDF or Word, under 4MB)
#J-18808-Ljbffr
