Role overview
Vilya is a computational biotechnology company creating a novel class of medicines to precisely target disease biology. We believe computational approaches are an integral, if not foundational, component of drug discovery and development.
We are harnessing the power of our platform to go after previously impossible targets in an array of indications. Vilya’s ultimate goal is to solve some of the most challenging unmet medical needs that exist today.
Our Vision: Harness a revolution in technology and biology to better human health.
Our Mission: Build an independent, leading biotech company founded on intelligent drug design to cure the incurable.
We think from atoms to bits – and everywhere in between; now, we are seeking a highly-motivated, creative, and knowledgeable Machine Learning Engineer to help us build a highly-scalable computational drug discovery platform.
Vilya is a team-first organization, and we believe onsite work is essential to how we collaborate, move quickly, and build a strong culture. This is an onsite position in our Seattle office. Join us and help make a difference for patients!
What you'll work on
- Develop and maintain the infrastructure to support machine learning workflows for drug discovery at scale.
- Implement and optimize algorithms for data processing, model training and model deployment.
- Collaborate with and support the computational scientists at Vilya to help build a world-class computational macrocycle drug discovery pipeline.
- Participate in the development and enhancement of our software platform to ensure that our codebase is reliable, efficient, secure, and scalable.
What we're looking for
- A solid background in machine learning, including linear algebra, statistics, and calculus
- Experience with modern generative modeling frameworks, such as flow matching and diffusion
- Familiarity with techniques for modeling point-clouds or graphs (GNNs, equivariant transformers, etc.)
- Familiarity with basic cheminformatics libraries and tools (RDKit, OpenBabel, PyMol, etc.)
- An interest in drug discovery and working with biochemical data