Machine Learning Engineer

Job Description: • Pay: 48.00-78.00/hr. • Length of Assignment:1 year contract with potential extension. • Hybrid role: 2-3 days a week onsite. • For this role, we are seeking candidates with significant experience in at least one of the following areas. Listed in order of importance: Molecular property prediction, Probabilistic modeling/inference, Bayesian optimization or active learning, Production software engineering or pipeline optimization, Cheminformatics. • In addition to these skills, strong software engineering experience is required. • We are looking for talented Machine Learning Engineers to join Prescient Design, a division devoted to developing structural and machine learning-based methods for molecular design within Research and Early Development (gRED) organization. • The successful candidate will manage projects deploying new techniques for machine learning-based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns. Special focus will be given to engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning-based drug discovery. Additional activities may extend to include engineering pipelines for molecular generative modeling. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy