Connectomics ML Engineer — Large-Scale Brain Data, Equity

Eonsystems; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Eonsystems in San Francisco, CA, is seeking a machine learning, software, or data engineer to help build large-scale connectomics data pipelines.

You will work on segmentation, affinity prediction, and neural reconstruction, handling TB- to PB-scale datasets and contributing to visualization and brain simulations.

This hands-on role blends ML experimentation with production data infrastructure and scientific computing in a collaborative neuroscience environment.

Responsibilities

• Build, optimize, and maintain large-scale connectomics data pipelines for volumetric microscopy data.
• Develop and improve machine learning workflows for image segmentation, affinity prediction, watershed/post-processing, synapse detection, and neural reconstruction.
• Work with large-scale n-dimensional image data, including TB- to PB-scale datasets.
• Run controlled ML experiments to improve segmentation accuracy, throughput, and reliability.
• Create polished, compelling visualizations of connectomic data, neural activity, and reconstructed circuits.

Job description

Eonsystems in San Francisco, CA, is seeking a machine learning, software, or data engineer to help build large-scale connectomics data pipelines.

You will work on segmentation, affinity prediction, and neural reconstruction, handling TB- to PB-scale datasets and contributing to visualization and brain simulations.

This hands-on role blends ML experimentation with production data infrastructure and scientific computing in a collaborative neuroscience environment.