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Vilya
AI

Machine Learning Engineer

Vilya · Seattle, WA · $154k - $174k

Actively hiring Posted 5 months ago

Responsibilities

  • 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.

Basic qualifications

  • 1+ year of experience developing and maintaining ML pipelines
  • Understanding of general software development concepts, including git, containers, testing, cloud computing, etc.
  • Experience with modern deep learning frameworks, like PyTorch or JAX
  • Experience with Python scientific computing tools, such as numpy, scipy, pandas, etc.
  • Experience working with big data pipelines
  • Experience working within Linux environments
  • Ability to effectively communicate with a team of diverse backgrounds
  • B.S. in computer science (or equivalent industry experience)

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
  • Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team
  • 401(k) plan with employer matching for contributions
  • Stock options
  • Excellent medical, dental, and vision coverage
  • Open, flexible vacation policy
  • Support to attend professional conferences meaningful to your career growth
  • Monthly cell phone and internet stipend
  • Monthly wellness and commuter stipend

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