Senior Machine Learning Engineer — Scalable AI in Production

Capital One; San Jose (CA); On-site; 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. You will collaborate across Product, DS, Ops, and Data Engineering to deliver production-ready solutions that solve real business problems.

Requirements include 4+ years in Python/Java/Golang/C++, 4+ years with PyTorch or TensorFlow, and experience deploying ML in the cloud with Kubernetes. This role emphasizes responsible AI and scalable data pipelines, in a fast-paced, collaborative environment.

Qualifications

• Bachelor's degree or higher in Computer Science or related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience programming with Python, Java, Golang, or C++
• At least 4 years of ML experience using PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn)
• At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
• At least 2 years of experience deploying and operating ML solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams
• Inform ML infra decisions: model choice, data, features, training, tuning, bias/variance
• Write production-grade code, validate models, automate tests and deployments
• Collaborate in cross-functional Agile team to enable state-of-the-art big data/ML apps
• Retrain, maintain, and monitor models in production
• Leverage cloud architectures to deliver scalable ML models
• Construct optimized data pipelines for ML models
• Use CI/CD, test automation and monitoring for deployments
• Ensure code governance and Responsible/Explainable AI
• Use Python, Scala, or Java for development

Skills

Python

Java

Golang

C++

Education

Bachelor's degree or higher in Computer Science or related field

Tools

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

Job description

Capital One seeks a Machine Learning Engineer to design, build, and deploy ML models at scale. You will collaborate across Product, DS, Ops, and Data Engineering to deliver production-ready solutions that solve real business problems.

Requirements include 4+ years in Python/Java/Golang/C++, 4+ years with PyTorch or TensorFlow, and experience deploying ML in the cloud with Kubernetes. This role emphasizes responsible AI and scalable data pipelines, in a fast-paced, collaborative environment.