Genesis Molecular AI→
Software Engineer Intern - Fall 2026 at Genesis… · New York
InternshipOn-siteFull-timeNew York, NY
Skills
machine learningsoftware developmentbiochemistry knowledgedeep learningmolecular dynamicscode quality standardsintellectual curiosity
Job Description
Summary: Genesis Molecular AI is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. They are looking for engineers excited to help develop new medicines and play a critical role in building out their software platform.
Responsibilities:
- Build and expand on tools for visualizing molecules and proteins, analyzing machine learning models, and managing complex chemical workflows
- Work closely with machine learning engineers and medicinal chemists to develop and productionize new computational methods for molecular property prediction
- Help scale our core infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs
Required Qualifications:
- Strong software engineer who will write code quickly and uphold code quality standards
- Deep thinker who reasons from first principles over pattern matching
- Interested in learning about biochemistry and the drug development process
Required Skills: Machine Learning, Software Development, Biochemistry Knowledge
Important Skills: Deep Learning, Molecular Dynamics
Nice-to-Have Skills: Code Quality Standards, Intellectual Curiosity
Internship Start Date: Start in 2026 Fall
Benefits: The opportunity to work on high impact tools and products that are immediately deployed to accelerate the discovery of new medicines, Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 machine learning or chemistry papers every week to stay on top of the field and inspire new ideas
Benefits
The opportunity to work on high impact tools and products that are immediately deployed to accelerate the discovery of new medicines
Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 machine learning or chemistry papers every week to stay on top of the field and inspire new ideas