Machine Learning Engineer

Job Title: Machine Learning Engineer Location: South San Francisco, CA - Onsite Duration: Long Term Contract Position About the Role We are seeking for a talented Machine Learning Engineers to advance structural and ML-based methods for molecular design. You'll work on cutting-edge projects in drug discovery , focusing on molecular optimization, Bayesian acquisition, probabilistic property prediction, and generative modeling for small and large molecules. What You'll Do Collaborate with ML scientists, engineers, computational chemists & biologists. Develop ML and Bayesian optimization workflows for drug design. Build pipelines for molecular property prediction & active learning. Partner with therapeutic development teams to translate insights into solutions. Lead existing projects and drive new research initiatives. Qualifications PhD in Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics (or related field), OR MS + 3+ years industry experience. Hands-on experience with ML libraries in production workflows (e.g., PyTorch + Lightning + Weights & Biases). Strong publication record (1+ high-impact first-author paper or equivalent). Experience with molecular dynamics , rdkit , or computational chemistry. Excellent communication & collaboration skills.