Director - Machine Learning Engineering
Core
Lead large-scale ML initiatives and drive AI transformations by delivering production ML models and software components for the financial services industry.
Role type
Director, Machine Learning Engineering (hands-on IC with leadership)
Builds
Production ML models, intelligent systems, and optimized data pipelines for Capital One's products
Domain
Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, AWS, GCP, Azure, Kubernetes, Supervised/Unsupervised/Reinforcement Learning, RNNs, CNNs, LSTMs, Transformers
Preferred skills
Master's/Doctoral degree, large-scale ML system architecture, ML algorithm optimization, data pipeline scaling, public speaking/patents, hiring high-performing teams
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure
Responsibilities
Deliver ML models solving business problems, lead large-scale ML initiatives, optimize data pipelines, evangelize best practices, recruit and retain top talent, mentor engineers
Seniority
Director, strategic leadership with hands-on technical contribution