Develop and ship new compression methods for Large Language Models, focusing on structural pruning and quantization. Own the technical scope from prototyping to production integration, optimizing models for cloud and edge deployment. Requires a PhD in CS/ML with published work on quantization/pruning and production-grade Python experience.
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Job Description
At Orient Path, we partner with innovative deep-tech companies building the next generation of AI infrastructure.
About the Company
A deep-tech software startup of 6 people developing algorithms for LLM compression and optimization, founded in early 2025 by two former quantum physicists. The company raised a €3.5M Seed round in 2026, and plans to expand the team and compression offerings to Silicon Vendors, AI Enterprises, OEMs, and Cloud Providers.
We believe the next wave of AI adoption will be driven by compact, highly efficient models optimized for specific use cases, rather than large general-purpose cloud models.
About the Role
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