Senior Machine Learning Engineer

Job Summary

The Senior Engineer, R&D is responsible for developing, improving, and delivering machine learning models for DeepHealth clinical AI products. This hands-on role spans data, experimentation, model development, evaluation, and production delivery, working with machine learning peers, software engineers, clinicians, and product partners to investigate problems, make technical decisions, and deliver measurable improvements in model quality, robustness, and operational performance.

Essential Duties and Responsibilities 

• Improve existing production models through systematic error analysis, better data, targeted experiments, and changes to model architecture and training.

• Develop models for new products, taking problems from initial formulation and feasibility experiments through training, validation, and production integration.

• Partner with clinicians and product colleagues to define meaningful evaluation criteria, including sensitivity, specificity, and the clinical consequences of different error types.

• Evaluate robustness across patient populations, clinical sites, imaging equipment, and acquisition conditions; identify performance