
11 - 50 employees
đ° Series A on 2022-10
Aqemia is a pharmatech company using quantum physics and artificial intelligence to transform the drug discovery process. With a unique proprietary technology that preclude the use of experimental data, our pipeline scales the drug discovery process at an unprecedented pace, generating an exhaustive number of new drug candidates.
đ June 30, 2025
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11 - 50 employees
đ° Series A on 2022-10
Aqemia is a pharmatech company using quantum physics and artificial intelligence to transform the drug discovery process. With a unique proprietary technology that preclude the use of experimental data, our pipeline scales the drug discovery process at an unprecedented pace, generating an exhaustive number of new drug candidates.
âą Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. âą Design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. âą Build and scale the platform-facing product that manages the full lifecycle of Aqemiaâs predictive models. âą Scale and industrialize ML/deep learning models developed by research scientists. âą Ensure robust and reproducible performance of model pipelines across the full lifecycle.
âą 6+ years of experience in software engineering with strong focus on machine learning systems âą Deep proficiency in Python and ML ecosystem (e.g. PyTorch, scikit-learn, MLFlow) âą Solid understanding of data and model lifecycle management, versioning, and deployment âą Experience building ML infrastructure and model-serving pipelines in production environments âą Familiarity with cloud-based architecture (AWS preferred), containerization (Docker), and orchestration tools âą Ability to work autonomously and lead initiatives with high technical ownership âą Strong communication skills and ability to work closely with scientists and engineers alike
âą 2 remote days/week âą Prime Locations: Central Paris or London offices âą High Ownership, High Impact
Apply Nowđ June 24, 2025
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