Machine Learning Engineer at Vilya

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

174000.0

Posted On

27 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Processing, Model Training, Model Deployment, Python, Deep Learning, Big Data, Linux, Software Development, Git, Containers, Cloud Computing, Cheminformatics, Statistical Analysis, Generative Modeling, Graph Modeling, Drug Discovery

Industry

Biotechnology Research

Description

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 VILYA 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 SALARY RANGE: $154,000–$174,000/year

Responsibilities

The Machine Learning Engineer will develop and maintain infrastructure for machine learning workflows in drug discovery. They will also implement and optimize algorithms for data processing, model training, and deployment.