Senior Machine Learning Engineer - Lead Production-Scale AI

Capital One Group; Plano (TX); On-site; USD 286,000 - 359,000; Full time

Job summary

Capital One is seeking a Senior Staff Machine Learning Engineer to lead end-to-end ML initiatives in a production environment. The role involves delivering scalable ML models, collaborating with product, architecture, and data science teams, and shaping company-wide ML strategy.

The candidate will leverage Python, Java, and Go, run large-scale distributed systems, and deploy ML solutions in cloud environments such as AWS, GCP, or Azure, using Kubernetes to manage services.

Qualifications

• Bachelor's degree or higher in Computer Science, ML or related quantitative field.
• 10+ years of Python/Java/Golang/C++ experience.
• 8+ years deploying ML in production on cloud and with Kubernetes.

Responsibilities

• Deliver ML models and software components for financial services problems.
• Lead large-scale ML initiatives with cross-functional teams.
• Scale production models and optimize data pipelines for ML.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Kubernetes

AWS

Distributed systems

Education

Bachelor's degree in CS or related field

MS in CS or related field

Tools

Dask

RAPIDS

Ray

Job description

Capital One is seeking a Senior Staff Machine Learning Engineer to lead end-to-end ML initiatives in a production environment. The role involves delivering scalable ML models, collaborating with product, architecture, and data science teams, and shaping company-wide ML strategy.

The candidate will leverage Python, Java, and Go, run large-scale distributed systems, and deploy ML solutions in cloud environments such as AWS, GCP, or Azure, using Kubernetes to manage services.