Role overview
AI for drug design is limited by sparse and fragmented data. deepmirror is an AI-native drug design platform built around curated, non-public experimental molecule property measurements (potency, binding, ADMET) aggregated from patents, papers, and partners. We help chemistry teams choose the next best experiments to progress programs faster with fewer dead ends. Since launching in 2023, our platform is now used by hundreds of chemists across the globe to impact real world drug programs in oncology, dementia, infammation, and global health. Now, we are looking for an experienced ML engineer to supercharge our product.
What you'll work on
As part of the platform team, you will build and contribute to core services integrating advanced molecular property prediction algorithms into our platform and interface with users to improve their experience. Leveraging your expertise in ML engineering, we encourage you to seize the opportunity to be independent and drive innovation and quality. In the role, you will have substantial growth opportunities, allowing you to shape deepmirror’s technological framework from its inception and learn in an interdisciplinary environment at the interface of physics, chemistry, biology, and machine learning.
What we're looking for
- Experience deploying ML models into production environments.
- Contributions to open-source scientific software (e.g., RDKit, OpenMM, PyTorch or related tools).
- PhD in chemistry, computational chemistry, or a related physical science / computer science.
If you meet at least 60% of the requirements or nice-to-have qualifications, we encourage you to apply.
Benefits
- Competitive Option Plan in line with the stage of the company
- Frequent social events and off-sites
- Private medical insurance
- 1-week remote working per quarter
- Cycle to Work Scheme
- Pension Scheme: 5%/5% employer/employee