Senior Machine Learning Engineer — Production & Cloud

Capital One Group; San Jose, Northern (CA, KY); Hybrid; USD 215,000 - 246,000; Full time

Job summary

Capital One seeks a Machine Learning Engineer to design, build, and deploy ML models at scale in production. You will collaborate with product and data science teams, construct data pipelines, and ensure models are monitored and retrained as needed in cloud environments.

You will work in an Agile setting with emphasis on responsible AI, model governance, and scalable ML infrastructure using Python/Java/Golang/C++. A strong foundation in distributed systems and cloud platforms is essential.

Qualifications

• Bachelor's degree in Computer Science or related quantitative field.
• 4+ years Python/Java/Golang/C++ programming.
• 4+ years ML experience with PyTorch or TensorFlow.
• 4+ years operating large-scale distributed systems (Spark, Ray).
• 2+ years deploying ML solutions in production in cloud (AWS, GCP, Azure) and using Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components for real-world problems.
• Collaborate with Product and Data Science teams in an Agile environment.
• Retrain, monitor, and maintain models in production.
• Construct data pipelines and optimize ML infrastructure.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Ray

Kubernetes

Education

Bachelor's degree in Computer Science or related field

Master's or PhD in CS / EE / Math (preferred)

Tools

AWS

GCP

Azure

Kubernetes

Job description

Capital One seeks a Machine Learning Engineer to design, build, and deploy ML models at scale in production. You will collaborate with product and data science teams, construct data pipelines, and ensure models are monitored and retrained as needed in cloud environments.

You will work in an Agile setting with emphasis on responsible AI, model governance, and scalable ML infrastructure using Python/Java/Golang/C++. A strong foundation in distributed systems and cloud platforms is essential.