Vilya
Biotech
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at Vilya. Skills: Machine Learning, ML pipelines, Drug discovery. Develop ML infrastructure. Maintain ML infrastructure”
Industry & Context.
What They're Looking For.
Must Have
1+ year ML pipelines, General software development concepts, Modern deep learning frameworks, Python scientific computing tools, Big data pipelines, Linux environments, B. S. in computer science
Nice to Have
Solid background in machine learning, Experience with generative modeling frameworks, Modeling point-clouds or graphs, Basic cheminformatics libraries and tools, Interest in drug discovery
What You'll Do.
Develop ML infrastructure
Maintain ML infrastructure
Collaborate with computational scientists
Build drug discovery pipeline
Participate in platform development
Enhance software platform
How You'll Work.
Team & Collaboration
Computational scientists; Diverse backgrounds
Communication Scope
Effective communication
Full Job Description
Vilya is a computational biotechnology company creating a novel class of medicines to precisely target disease biology. We believe computational approaches are an integral, if not foundational, component of drug discovery and development. Our platform is built on ground-breaking research in advanced computational approaches and taps into uncharted chemical space to design new molecular structures not found in nature. We are harnessing the power of our platform to go after previously impossible targets in an array of indications. Vilya’s ultimate goal is to solve some of the most challenging unmet medical needs that exist today. Our Vision: Harness a revolution in technology and biology to better human health Our Mission: Build an independent, leading biotech company founded on intelligent drug design to cure the incurable We think from atoms to bits – and everywhere in between; now, we are seeking a highly-motivated, creative, and knowledgeable Machine Learning Engineer to help us build a highly-scalable computational drug discovery platform. Vilya is a team-first organization, and we believe onsite work is essential to how we collaborate, move quickly, and build a strong culture. This is an onsite position in our Seattle office. Join us and help make a difference for patients! 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,
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