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)

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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Fulltime Machine Learning Ai