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
Basic 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
- Wage: $25/hour - $45/hour, based on a combination of education and experience
- Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team
- Monthly commuter stipend
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