Machine Learning Engineer

1 day ago


South San Francisco, California, United States Dawar Consulting Full time

Our client, a worldleader in diagnostics and life sciences, is looking for a "MachineLearning Engineer" based out of South San Francisco, CA (Hybrid). Job Duration: Long termContract (Possibility Of Further Extension)Pay Rate : $78/hr on W2DOE Company Benefits:Medical, Dental, Vision, Paid Sick leave, 401K We are looking fortalented Machine Learning Engineer to join Prescient Design, a divisiondevoted to developing structural and machine learning -based methods formolecular design within client's Research and Early Development (gRED)organization. The successful candidate will manage projects deploying new techniques formachine learning -based molecular optimization for the analysis and design ofsmall and large molecule drugs within target -driven design campaigns. Specialfocus will be given to engineering pipelines for probabilistic molecularproperty prediction and Bayesian acquisition for active learning -based drugdiscovery. Additional activities may extend to include engineering pipelinesfor molecular generative modeling. Qualifications:PhD in a quantitativefield (e.g., Computer Science, Chemistry, Chemical Engineering, ComputationalBiology, Physics), or MS with 3+ years of industry experience.Demonstrated experience with machine learning libraries in production -readyworkflows (e.g., PyTorch + Lightning + Weights and Biases).For this role, we are seeking candidates with significant experience in atleast one of the following areas, and ideally some experience in one or more ofthe others, listed in order of importance: Molecular property prediction,Probabilistic modeling/inference, Bayesian optimization or active learning,Production software engineering or pipeline optimization, Cheminformatics. Inaddition to these skills, strong software engineering experience is required. If interested, pleasesend us your updated resume at;\/a>;\/a>  



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