Intern - Machine Learning Engineer at Vilya in Seattle, WA

Summary: Vilya is a computational biotechnology company creating a novel class of medicines to precisely target disease biology. They are seeking a highly-motivated, creative, and knowledgeable Intern - Machine Learning Engineer to support their R&D efforts by developing infrastructure for deep learning workflows and collaborating with computational scientists. Responsibilities: - Develop and maintain the infrastructure to support deep learning workflows for drug design 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 remains reliable, efficient, secure, and scalable Required Qualifications: - Experience developing, deploying, and managing deep learning models and formatting large datasets for real-world problems - Experience with modern deep learning frameworks, like PyTorch or JAX - Experience with Python scientific computing tools, such as numpy, scipy, pandas, etc - Understanding of general software development concepts, including git, containers, testing, cloud computing, etc - Experience working within Linux environments - Ability to effectively communicate with a team of diverse backgrounds - Graduating with a B.S. or higher in Computer Science (or similar degree) in or before the spring of 2027 - Ability to work on site in our Seattle, WA office, no relocation costs will be provided through this internship Preferred Qualifications: - 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 Required Skills: Deep learning models, PyTorch, JAX, Python scientific computing Important Skills: Software development concepts, Linux environments Nice-to-Have Skills: Machine learning background, Generative modeling frameworks, Cheminformatics libraries, Drug discovery interest Benefits: Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team, Monthly commuter stipend