Member of Technical Staff Intern, Smart Microscopy

Cephla is building open and programmable automated microscopes and AI-enabled microscopy solutions for biology, drug discovery, and diagnostics. The intern will work across research and engineering to build, deploy, and productionize machine learning, computer vision, image analysis, adaptive control, and data infrastructure systems for automated microscopy.

Responsibilities:

• Smart acquisition — building or deploying ML and computer vision models that decide what to image, when, and how (focus, ROI selection, channel switching, rare-event detection)
• Online image analysis — segmentation, detection, classification, and QC running during acquisition, not after
• Closed-loop experiments — building the adaptive control layer on top of our existing imaging, fluidics, and robotics integrations, and the abstractions that let users (and increasingly, agents) define and run protocols
• Deployment — shipping what you build for robust production use on our users' instruments and automation workcells
• Foundation-model and self-supervised approaches for microscopy data
• Software infrastructure for microscope farms and large-scale automation — running, monitoring, and learning from many instruments at once
• Data infrastructure — improving how microscopy datasets flow from instruments to storage to training pipelines
• Exploratory work on computational imaging and new acquisition modalities