Senior / Staff Applied Machine Learning Scientist

The Opportunity Machine learning lies at the core of insitro's approach to rethinking drug development. We've built a ChemML Platform that uses AI to accelerate small molecule discovery from hit-finding through lead optimization. Our innovative approach enables us to rapidly design drugs against internally discovered novel AI targets, with models powered by some of the industry's largest and most comprehensive datasets: Billions of proprietary binding affinity measurements Hundreds of thousands of ADMET and In Vivo PK measurements Experimental data generated through our AI-driven DMTL optimization cycles We're looking for an Applied Machine Learning Scientist who will be hands-on using our ChemML platform to drive design on multiple therapeutic programs while directly contributing to the development of our ChemML platform and ML models. This role offers an opportunity to translate cutting-edge ML into real-world impact on drug discovery. This role will report to the Senior Manager, Molecular Machine Learning and is a flexible hybrid (2 days per week in office) or remote (1 week per quarter on-site) role. The Role Develop insitro's ChemML Platform: Work with industry-leading ADMET/In Vivo PK datasets to train and finetune foundation chemistry AI models Develop small molecule generative AI and enumeration methods conditioned using our ADMET/affinity models for multi-parameter optimization (MPO) Collaborate with software engineering teams to build robust pipelines for active/iterative learning and automated DMTL cycles Directly shape the roadmap for our ChemML platform's evolution Integrate AI to Drive Our Small Molecule Discovery Programs: Collaborate cross-functiona