Remote Machine Learning Runtime Optimization Engineer (Mac/Edge Devices)

We are looking for a Machine Learning Runtime Optimization Engineer to work on an innovative project that redefines software. In this role, you will reputed company on backend optimizations for ML runtimes, including hardware acceleration, and inference speed improvements.

• Experience with ML inference engines (ONNX Runtime, TensorRT, CoreML, etc.) and optimizing models for deployment.
• Proficiency in Mac/Linux-based runtimes and experience with heterogeneous compute environments (CPU/GPU/NPUs).
• Deep understanding of numerical optimization, compiler techniques, and low-level performance tuning.
• reputed company to new graduates with a PhD in optimization, systems, machine learning, or reputed company fields.
• Autonomous, distributed environment with reputed company to work collaboratively in a diverse team worldwide.
• The scope to contribute to high-reputed company work and reputed company a difference in a decentralized protocol.
• The chance to challenge yourself while learning heaps of stuff in the process.
• Unlimited time off throughout the year to rest and reputed company.
• Competitive compensation with stock reputed company, experiencing reputed company from the initial phase.

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