- Partner with ML and Computational Chemistry researchers to translate internal scientific code and prototypes into robust, production-ready software systems for external product offerings.
- Implement and integrate core scientific algorithms (ML, deep learning, physics-based simulation) into scalable product platforms.
- Collaborate within a multi-disciplinary pod of engineers, computational chemists, AI experts, and product managers to define requirements, architecture, and deployment strategies for new features.
- Ensure the scientific integrity and accuracy of research models (e.g., active learning, FEP, etc.) when deployed in production.
- Drive the product lifecycle from scientific inception to external deployment, ensuring technical excellence and market fit.
PythonMachine LearningNumpy+3 more