US only

Applied ML Engineer - Edge Devices

Deepgram Posted 1 day ago $155K - $245K

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About the role

Adapt Deepgram speech models to edge devices and non-NVIDIA accelerators. The work covers operator changes, quantisation, accuracy and latency benchmarking, and repeatable deployment onto constrained hardware. You will collaborate with embedded engineers on custom kernels; production Python and PyTorch experience matters.

Remote: United States.

Employer posting date: 2026-09-14.

Skills

Data / ML Python Machine Learning PyTorch

How to apply

Apply directly on the employer's application page. Your application goes straight to them.

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Republished listing

This opportunity was discovered on Deepgram's public careers page and is republished here for discovery purposes. Applications are handled by the employer.

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