Edge ML Engineer - Deploy ML Non-NVIDIA Platforms
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), AI Reliability/ Performance Engineer
Job Description & How to Apply Below
Deepgram is seeking an Applied ML Engineer for the Partner Platform Engineering team. You will port Deepgram speech models to non-NVIDIA and edge platforms, adapting models to run within target kernels and operator sets, while maintaining accuracy and latency.
You’ll own deployment paths, validate on real hardware, and collaborate with Embedded AI Engineers to integrate custom kernels. This role focuses on applied ML for edge deployment, not research or cloud-serving, offering opportunities to
We are currently recruiting a Edge ML Engineer
- Deploy ML on Non-NVIDIA Platforms for our team in United States.
Join us at Fdetimes as our next Edge ML Engineer
- Deploy ML on Non-NVIDIA Platforms in United States.
This is an excellent opportunity to take on the Edge ML Engineer
- Deploy ML on Non-NVIDIA Platforms role at Fdetimes.
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