Senior ML Engineer: Scalable AI & Production Systems

Capital One; Plano (TX); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer to design, build, and deploy scalable ML models. You will collaborate with product and data science teams to develop production-grade pipelines and multi-tenant platforms for training and serving models.

The role emphasizes distributed systems experience, cloud platforms (AWS/GCP/Azure), and strong coding skills in Python/Java/Golang/C++. You will participate in CI/CD and responsible AI practices while scaling ML solutions in production.

Qualifications

• Bachelor's degree required in CS or a related field.
• 6+ years in Python/Java/Golang/C++.
• 6+ years ML with PyTorch or TensorFlow or similar.
• 6+ years operating large-scale distributed systems (Spark/Ray).

Responsibilities

• Design and deliver ML models with product and data science teams.
• Build and scale multi-tenant platforms for training/serving at scale.
• Inform ML infra decisions: data, features, training, tuning, validation.
• Write and test application code; automate tests and deployment.
• Collaborate in an Agile team to enable state-of-the-art ML apps.
• Retrain, maintain, and monitor models in production.

Skills

Python

Java

Golang

C++

Spark

Cloud computing

Education

Bachelor's Degree in Computer Science or related field

Master's degree preferred

Tools

PyTorch

TensorFlow

Scikit-learn

Spark

Kubernetes

AWS/GCP/Azure

Job description

Capital One is seeking a Machine Learning Engineer to design, build, and deploy scalable ML models. You will collaborate with product and data science teams to develop production-grade pipelines and multi-tenant platforms for training and serving models.

The role emphasizes distributed systems experience, cloud platforms (AWS/GCP/Azure), and strong coding skills in Python/Java/Golang/C++. You will participate in CI/CD and responsible AI practices while scaling ML solutions in production.