About the role
Apheris is hiring a Senior ML Engineer to lead technical execution for structural biology models within their federated data networks. The role focuses on advancing state-of-the-art AI for pharmaceutical R&D, specifically fine-tuning foundational models like OpenFold, Boltz-2, and ESMFold for co-folding and protein structure prediction. You will serve as the technical authority on ML modeling and architecture, working directly with leadership to deliver customer-driven projects that address real-world drug discovery needs.
This is a hands-on position requiring deep expertise in training and deploying contemporary protein structure models at scale. You will design model extensions for binding affinity prediction, build scalable MLOps pipelines, and collaborate with pharmaceutical partners through the full project lifecycle from scoping to results delivery. The role offers the opportunity to work on privacy-preserving federated learning while contributing to publications and open-source.
Highlights
- Lead technical execution for structural biology AI models in pharmaceutical R&D
- Fine-tune foundational models including OpenFold, Boltz-2, and ESMFold for co-folding applications
- Remote-first work arrangement with quarterly meetups at Berlin HQ or European locations
- Industry-competitive compensation including early-stage virtual share options
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