Staff+ Machine Learning Engineer
Core
Building foundational ML platform infrastructure to scale model development, improve predictive accuracy, and automate workflows for the lending marketplace.
Role type
Staff+ Machine Learning Engineer (ML Platform)
Builds
Unified embeddings platform, feature engineering pipelines, automated continuous-learning systems, and scalable training pipelines.
Domain
Fintech / AI Lending / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
End-to-end model development, Python, PyTorch, TensorFlow, Scikit-learn, XGBoost, high-scale ML environments, cross-functional collaboration, technical strategy, data readiness, feature development, training, evaluation, serving, monitoring.
Preferred skills
CUDA/GPU acceleration, feature store design, embedding architecture, synthetic data generation, experimentation frameworks, hyperparameter tuning, automated model selection.
Technologies
PyTorch, TensorFlow, Scikit-learn, XGBoost, CUDA, GPU
Responsibilities
Scale ML innovation by building tools and workflows that improve model development speed and reliability; Work backward from modeling needs to design systems unlocking gains in accuracy and efficiency; Explore new algorithms and develop supporting tooling; Improve the entire ML lifecycle from data readiness to monitoring; Automate and standardize operational workflows; Define the roadmap for the next generation ML Platform.
Seniority
Staff+, high influence, hands-on IC with strategic scope
