Edge ML Engineer: Port & Optimize Models to Edge Hardware
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Engineering
Job Description & How to Apply Below
Deepgram is seeking an Applied ML Engineer for edge devices to port and optimize speech models on non-NVIDIA hardware. The role focuses on adapting models to target kernels, runtime constraints, and device limits while preserving accuracy and latency.
The position emphasizes hands-on deployment, automated edge tooling, and collaboration with Embedded AI to ship reliable models to customers from edge devices.
Join us at Devconnectplatform as our next Edge ML Engineer:
Port & Optimize Models to Edge Hardware in United States.
Our team is growing, and we are hiring a Edge ML Engineer:
Port & Optimize Models to Edge Hardware in United States.
This Full Time opportunity is for the Edge ML Engineer:
Port & Optimize Models to Edge Hardware role at Devconnectplatform.
We are seeking a motivated Edge ML Engineer:
Port & Optimize Models to Edge Hardware to join Devconnectplatform in United States.
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