Staff Machine Learning Engineer, AI Generation Engine
Core
Design, prototype, and deploy AI-first SaaS products leveraging Large Quantitative Models (LQMs) and agentic frameworks to solve challenges in life sciences, finance, and other sectors.
Role type
Staff Machine Learning Engineer (AI Generation Engine)
Builds
AI-first SaaS products and scalable ML systems integrating LQMs
Domain
AI/ML, Life Sciences, Financial Services
Deliverable
production ML models
Required skills
Python (PyTorch, TensorFlow, JAX, NumPy, Pandas), MLOps, CI/CD for ML, experiment tracking (Weights & Biases, MLflow), large-scale data pipeline engineering, model training and fine-tuning, hyper-parameter tuning, cloud computing (GCP, AWS)
Preferred skills
MS or PhD in CS/SE, financial simulation or risk simulation experience, tech leadership in complex environments
Technologies
PyTorch, TensorFlow, JAX, NumPy, Pandas, Weights & Biases, MLflow, GCP, AWS
Responsibilities
Design and manage 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 for production efficiency; Collaborate with researchers and product managers to translate business objectives into ML roadmaps; Enforce engineering standards for code quality and security in prototyping environments
Seniority
Staff, hands-on IC with strategic ownership