About the job
At Genesis Molecular AI, we are assembling a premier software engineering team dedicated to revolutionizing drug discovery through advanced machine learning, biophysical simulations, and computational chemistry. We seek passionate engineers eager to contribute to groundbreaking medicine development and play an integral role in enhancing our software platform.
Your Responsibilities
Develop and enhance tools for visualizing molecular structures and proteins, analyzing machine learning models, and managing intricate chemical workflows.
Collaborate closely with machine learning engineers and medicinal chemists to innovate and implement new computational methods for predicting molecular properties.
Assist in scaling our core infrastructure to efficiently process billions of data points and thousands of concurrent deep learning and molecular dynamics tasks.
Your Profile
A proficient software engineer capable of writing high-quality code promptly while adhering to our coding standards.
A critical thinker who approaches problems from first principles rather than relying solely on established patterns.
Eager to expand knowledge about biochemistry and the drug development lifecycle.
What We Provide
An opportunity to contribute to impactful tools and products that are actively utilized to expedite the discovery of novel medicines.
A team of highly skilled professionals in AI, software engineering, and chemistry, characterized by intellectual curiosity and humility. Our team engages in weekly discussions of 1-2 research papers in machine learning or chemistry to stay updated and inspire innovative ideas.
Application & Hiring Timeline
Application Deadline: April 24, 2026
Resume Review Begins: May 4, 2026
Interviews Commence: May 11, 2026
About Genesis Molecular AI
Genesis Molecular AI is at the forefront of creating foundational models for molecular AI, ushering in a new era in drug design and development. Our innovative generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), combines AI with physics to produce and optimize drug development models.
