Senior ML Engineer (IC) — Scale Production AI Systems

Capital One Group; Northern, New York (KY, NY); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer to design, build, and deploy ML models with cross-functional teams. You will help scale large ML platforms, train and serve models, and influence data pipelines and infrastructure decisions.

The role emphasizes production ML with cloud platforms and containerized services, along with collaboration in an agile environment and ongoing model monitoring.

Qualifications

• Bachelor's or higher in Computer Science, Machine Learning or related quantitative field.
• 6+ years coding in Python/Java/Golang/C++.
• 6+ years ML experience with PyTorch or TensorFlow and ML libraries.

Responsibilities

• Design, build, and deliver ML models and components with product and data science teams.
• Scale multi-tenant platforms for large footprint ML training and serving.
• Implement ML infrastructure decisions, data/feature selection, model training, validation.

Skills

Python/Java/C++

PyTorch/TensorFlow

Distributed systems

Kubernetes

CI/CD

Education

Bachelor's or higher in CS/ML

Tools

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

AWS

GCP

Azure

Job description

Capital One is seeking a Machine Learning Engineer to design, build, and deploy ML models with cross-functional teams. You will help scale large ML platforms, train and serve models, and influence data pipelines and infrastructure decisions.

The role emphasizes production ML with cloud platforms and containerized services, along with collaboration in an agile environment and ongoing model monitoring.