Machine Learning Engineer

Come work with us as a machine learning engineer 

We are looking for an experienced Machine Learning Engineer to join us in building the machine learning backend that powers BrainMatter, the intelligent automation platform for visual asset inspection and monitoring. You will be an integral part of a small team responsible for delivering value to our end users through machine learning. As we are focused on visual asset inspection, we operate in the computer vision domain which means tasks like object detection, semantic segmentation, and anomaly detection are our bread and butter.

With access to massive proprietary datasets, a large dedicated GPU cluster, and advanced tooling to facilitate rapid experimentation, you will work on improving and scaling our ML pipelines with customer specific use cases in mind. Examples of tasks you will be faced with include building out a self-training pipeline for object detection in KubeFlow, optimizing the throughput of our real-time inference services for high resolution images, or investigating whether weakly supervised methods are applicable for customers operating in low data regimes. If any of this sounds interesting to you, read ahead! 

Interested to apply?

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