Machine Learning Engineer at Vilya in Seattle, WA

Summary: Vilya is a computational biotechnology company focused on creating innovative medicines through advanced computational approaches. They are seeking a highly-motivated Machine Learning Engineer to develop and maintain infrastructure for machine learning workflows in drug discovery, collaborating with computational scientists to enhance their software platform. 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 Required 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 Required Skills: Machine Learning pipelines, Deep learning frameworks, Python scientific computing Important Skills: Big data pipelines, Linux environments Nice-to-Have Skills: Software development concepts, Cheminformatics libraries, Interest in drug discovery Benefits: 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