Artera - Machine Learning Engineer (Model Dev)

• Develop and evaluate AI-based biomarkers using multimodal data. • Design, implement, and improve machine-learning models to predict patient outcomes and treatment response. • Contribute to the end-to-end model development lifecycle, including data preparation, training, evaluation, and validation. • Support the productionization, launch, and monitoring of machine-learning models in collaboration with platform and product teams. • Conduct research and experimentation to improve model performance, robustness, generalizability, and interpretability. • Collaborate with biostatistics, clinical, and product partners to translate clinical questions into machine-learning solutions.