ML Engineer
Core
Design and develop cutting-edge algorithms for drug design to tackle real-world challenges of AI in drug discovery, integrating advanced structure-based algorithms into a platform used by chemistry teams.
Role type
Senior research engineer (ML)
Builds
Core services integrating advanced structure-based algorithms into the deepmirror platform
Domain
AI for drug design / computational chemistry
Deliverable
production ML models
Required skills
software engineering, MLOps tooling, experiment tracking, model serving, containerisation, cloud infrastructure, infrastructure-as-code
Preferred skills
deploying ML models into production, open-source scientific software contributions
Technologies
AWS, GCP, Azure, PyTorch, RDKit, OpenMM
Responsibilities
Build molecular property machine learning models and expand Auto ML pipelines; Build ML infrastructure including training pipelines, experiment tracking, model registry, CI/CD; Curate and prepare datasets of molecular properties; Work with team and customers to deliver user-centric solutions; Prepare technical papers and presentations
Seniority
Senior, hands-on IC