A company is looking for a Machine Learning Engineer in South San Francisco, CA.
Key Responsibilities
Manage projects deploying machine learning techniques for molecular optimization in drug design
Engineer pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning
Extend activities to include engineering pipelines for molecular generative modeling
Required Qualifications
Significant experience in molecular property prediction, probabilistic modeling / inference, Bayesian optimization, or cheminformatics
Strong software engineering experience
Experience in production software engineering or pipeline optimization
Ability to work in a hybrid role (2-3 days onsite)
Willingness to commit to a 1-year contract with potential for extension
Machine Learning Engineer • Amarillo, Texas, United States