About the Role
As a Machine Learning Engineer at Redesign Science, you will play a crucial role in architecting and building systems and pipelines to scale our machine learning (ML) and molecular dynamics (MD) platform. We are building the world’s best structure-based drug discovery platform leveraging cutting-edge molecular dynamics and machine learning, and you will play a critical role in helping scale the platform. This is an exciting opportunity to help us shape, implement and improve our ML, MD and data systems and architectures, as well as helping to shape the direction and future growth of our ML engineering team.
About Redesign Science
uses machine learning and molecular dynamics to accelerate drug discovery and unlock new targeted therapies. We combine enhanced sampling and ML-accelerated MD to model drug-protein motion with deep nets trained on synthetic data to score billions of compounds and generative models to generate optimized molecules. Our computational platform has allowed us to rapidly build a pipeline of small molecules which modulate protein-protein interactions to drug formerly undruggable targets.
Our team is an interdisciplinary mix of experts in machine learning, molecular dynamics, chemistry, biology, and software engineering. As we expand our team, we are focused both on driving cutting-edge research to further improve our platform and on scaling our platform and discovery efforts to enable us to execute on more drug programs, faster.
For US-based applicants the standard base salary range for this position is $120,000 - $210,000 annually, plus competitive equity and benefits including medical, dental and vision insurance. This standard salary range encompasses several career levels, and compensation offered will depend on qualifications, skills and experience.