AI Research Engineer: Multimodal Quantization & Efficiency

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79pbug

Tether.io is seeking an AI research engineer to drive compression and efficient deployment for multimodal AI systems, including LLMs and VLMs. You will focus on reducing model footprint and cost while preserving accuracy across edge devices, using quantization, distillation, and pruning.

You will build robust pipelines, measure performance, and publish findings. A PhD or strong publications and PyTorch expertise are highly valued, with a global remote work setup.

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79pbug