Senior Machine Learning Engineer, AI Generation Engine
Core
Design and deploy end-to-end ML lifecycle for Large Quantitative Models (LQMs) and agentic frameworks to power AI-first products in life sciences, finance, and other sectors.
Role type
Senior hands-on IC Machine Learning Engineer
Builds
Scalable production ML systems, data pipelines, and novel model architectures for LQMs
Domain
AI/ML, Large Quantitative Models, Life Sciences, Financial Services
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, JAX, NumPy, Pandas, MLOps, CI/CD for ML, experiment tracking, scalable data processing, model training, evaluation, production deployment
Preferred skills
MS/PhD in CS/SE, financial simulation, risk simulation, cloud computing (GCP/AWS), cross-team technical leadership
Technologies
PyTorch, TensorFlow, JAX, NumPy, Pandas, Weights & Biases, MLflow, GCP, AWS
Responsibilities
Design robust data pipelines for LQM training and retraining; Develop and test novel ML models and algorithms; Engineer features from large-scale datasets; Analyze model behavior and optimize architecture; Collaborate on translating business objectives to ML roadmaps; Enforce engineering standards for code quality and security
Seniority
Senior, hands-on IC