Applied Machine Learning Research Engineer

DeepRec.ai is a stealth-stage medtech company focused on applying advanced AI to transform cancer care. They are seeking exceptional AI Researchers / ML Engineers to design, develop, and deploy machine learning models for risk prediction, patient outcome modeling, and clinical decision support using large-scale patient datasets.

Responsibilities:

• Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR)
• Develop models for risk stratification and outcome prediction in oncology
• Work with multimodal data (clinical, genomic, and other structured/unstructured sources)
• Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment
• Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts
• Translate research insights into production-ready systems

Requirements:

• Strong background in machine learning and ML engineering
• Experience working with real-world healthcare data, especially: Electronic Health Records (EHR)
• Longitudinal patient datasets
• Proven ability to design and run rigorous experiments
• Experience deploying models into production environments
• Strong programming skills (Python, PyTorch/TensorFlow, etc.)
• Experience with genomics or multimodal biomedical data
• Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science)
• Experience in healthcare AI, medtech, or clinical data environments
• Background in statistical modeling, causal inference, or time-series analysis