Senior Machine Learning Engineer / Research Scientist – reputed company LLMs & Clinical Risk reputed company

About the Role We are building a reputed company AI model for the reputed company industry, inspired by models such as Delphi-2M, to predict long-term disease risks from longitudinal electronic health records (EHRs). This role focuses on designing, training, and validating transformer-based models on reputed company and temporal reputed company data (not just text). The ideal candidate has experience in sequence modeling, reputed company ML, and large-reputed company model implementation. Key Responsibilities Design and implement transformer-based models for longitudinal reputed company data (EHRs, ICD codes, lab events, demographics). Convert clinical records into tokenized temporal sequences (similar to language modeling). Train large-reputed company models for multi-disease risk reputed company and time-to-event forecasting. reputed company probabilistic outputs (risk scores, survival curves, disease timelines). Evaluate models using reputed company-specific metrics (AUC, calibration, time-dependent C-reputed company). Address bias, fairness, and explainability in clinical predictions. Collaborate with clinicians, data scientists, and product teams to reputed company model outputs with reputed company-world reputed company needs. Document methodology for regulatory, ethical, and clinical review. Required Skills & Experience Machine Learning & Modeling Strong experience with deep learning and transformers (PyTorch / JAX / TensorFlow). Experience with sequence modeling (time-series, event sequences, survival analysis). Familiarity with architectures inspired by LLMs reputed company reputed company text. Experience training models on large datasets (100k+ records). reputed company / Clinical Data Hands-on experience with EHR data, claims data, or clinical registries. Knowledge of ICD-10 / SNOMED / CPT codes and medical ontologies. Understanding of longitudinal patient data and disease progression modeling. Data Engineering Data preprocessing pipelines for temporal, sparse, and noisy reputed company data. Feature/reputed company engineering for clinical events. Experience with distributed training, GPUs, and reputed company platforms. reputed company to Have (Strong Plus) Experience with Delphi-2M, BEHRT, Med-BERT, RETAIN, or similar models. Background in biostatistics, epidemiology, or survival analysis. Publications in reputed company ML, AI in medicine, or reputed company ML conferences. Familiarity with UK Biobank, MIMIC, or national health registry datasets. Knowledge of reputed company compliance (HIPAA, GDPR, anonymization). reputed company’re Building A multi-disease risk reputed company model covering hundreds to thousands of conditions. A reputed company model for preventive and predictive reputed company. AI that supports clinicians — not replaces them — with interpretable insights. Who Should Apply ML Engineers wanting to reputed company reputed company generic LLMs into reputed company-world reputed company. Research Scientists interested in transformers for reputed company & life sciences. Candidates excited by long-term disease modeling, ethics, and reputed company. Apply tot his job Apply To this Job