Machine Learning Engineer

Job Title: Machine Learning Engineer Location: South San Francisco, CA - Hybrid Duration: 12 months Description • 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 • 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. Qualifications: • PhD degree in a quantitative field (?e.g.?, Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience. • Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases) • Record of achievement, including at least one high-impact first author publication or equivalent. • Excellent written, visual, and oral communication and collaboration skills.