Senior Applied Deep Learning Research Engineer

About Opeongo Opeongo is a seed-stage AI company building the Meshwork Virtual Machine — a compound foundation model of the extracellular matrix (ECM) remodeling network, and the ECM layer of the digital human. It learns shared representations of tissue state from multimodal experimental data, simulates remodeling dynamics, and predicts response to perturbation. We are hiring a Senior Applied Deep Learning Research Engineer to work on the model itself — thearchitecture, training, and evaluation of the Meshwork Virtual Machine. What you will work onFOUNDATION MODEL RESEARCH– Own research threads on the architecture of the Meshwork Virtual Machine — multimodalrepresentation learning, representation of heterogeneous biological measurements, simulation ofdynamics, and perturbation response prediction– Design and run training runs and ablations, and draw conclusions that survive scrutiny– Own evaluation that distinguishes real capability from leakage, batch artifacts, and wishful metrics– Bring methods from the wider machine learning literature into a domain that has not yet applied themENGINEERING AND INFRASTRUCTURE– Build the training and evaluation infrastructure the research requires– Develop data pipelines that turn heterogeneous experimental data into model-ready inputs– Own reproducibility for your work — experiment tracking, seeds, environments, and results otherscan rebuild– Make and defend practical decisions about compute, scale, and where efficiency actually mattersCOLLABORATION AND SCIENTIFIC CONTRIBUTION– Work directly with the biological team to turn biological questions into model questions, and resultsback into experiments– Learn enough of the underlying biology to ask good questions and to recognize when a result isbiologically implausible– Contribute to technical documentation, internal reports, and investor-facing scientific material– Share work externally where it serves the platform — publications, preprints, and open source Profile Experience or demonstrable ability is required in each of the following. Candidates are assessed on thesubstance of their work rather than on formal credentials alone.