Teams at Plumerai

Develop and deploy state-of-the-art, highly efficient deep learning models (including multimodal LLMs) for on-device and cloud inference. Improve training algorithms, data pipelines, model architectures, and training software; optimize models for low-power embedded hardware and production deployments using company infrastructure.

Design, train, and deploy state-of-the-art, highly efficient computer vision and multimodal LLM models for low-power edge devices. Improve training algorithms, data pipelines, model architectures, and deployment tooling to ship AI features to millions of cameras. Prototype demos and optimize cloud and on-device inference.

Design, train, and deploy efficient deep learning models (especially tiny on-device CV models) and multimodal LLM features; improve data pipelines, training software, and model architectures; deploy and optimize models across cloud and edge using Kubernetes, GCP, and related tooling.