Vilya

Intern - Machine Learning Engineer

Vilya Seattle, WA
Full-time $52k Posted 5 months ago

Responsibilities

  • check_circle Develop and maintain the infrastructure to support deep learning workflows for drug design at scale
  • check_circle Implement and optimize algorithms for data processing, model training and model deployment
  • check_circle Collaborate with and support the computational scientists at Vilya to help build a world-class computational macrocycle drug discovery pipeline
  • check_circle 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

Tags & Focus Areas

Internship Machine Learning Ai