E11 Bio is on a mission to advance connectomics towards the scale of whole mammalian brains. We are a collaborative and interdisciplinary team of scientists and engineers engaged in a neuroscience moonshot project to develop a radical technology platform for scalable brain mapping. E11 Bio is a non-profit Convergent Research focused research organization located in Alameda, California, pursuing blue-skies neuroscience research yet operating like a nimble, tight-knit start-up. Read our technology roadmap.
We are seeking a creative and mission-driven Machine Learning Scientist to develop scalable automatic proofreading methods leveraging barcode and shape information. In this role, you will own core ML pipelines for automated proofreading of neuron and synaptic reconstructions in optical connectomics datasets, working closely with wet lab scientists, microscopists, and domain experts to ensure biological fidelity and scalability. Your work will directly support E11’s goal of making reliable connectomic data accessible to the broader neuroscience community.
In this role you will be focused on decreasing segmentation and proofreading costs for optical connectomics datasets that we are generating at E11, a critical bottleneck in the connectomics field. You will be responsible for improving initial segmentations using large spatial contexts with rich data features, and ingesting resulting datasets into scalable proofreading software for dissemination to the scientific community.