Embedded ML Engineer: Real-Time On-Device AI (Redmond)

Embedded ML Engineer: Real-Time On-Device AI (Redmond)

16 Oct
|
Intelliswift - An LTTS
|
Redmond

16 Oct

Intelliswift - An LTTS

Redmond

Intelliswift - An LTTS Company is seeking an Embedded Machine Learning Engineer to deploy ML models on wearable, audio, and intelligent devices. The role emphasizes transitioning research models to production on resource-constrained hardware with a focus on latency, memory, and power efficiency.

The candidate will train and fine-tune models using PyTorch or TensorFlow and develop high-performance C/C++ software for on-device inference, working closely with researchers and engineers in a

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📌 Embedded ML Engineer: Real-Time On-Device AI (Redmond)
🏢 Intelliswift - An LTTS
📍 Redmond

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