Senior Machine Learning Engineer, Production & Scale

Capital One; New York (NY); On-site; USD 251,000 - 286,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid time off

Job summary

Capital One in New York, NY seeks a Machine Learning Engineer 5 to design, build, and scale production ML models. You will collaborate with Product and Data Science teams to deliver real‑world AI solutions and help shape ML infrastructure, data pipelines, and CI/CD practices.

The role requires 6+ years of ML experience with PyTorch or TensorFlow, and expertise in distributed systems, cloud (AWS/GCP/Azure), and Kubernetes.

Qualifications

• Bachelor’s Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 6 years of experience programming with Python, Java, Golang, or C++
• At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit‑learn)
• At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data
• At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems

Responsibilities

• Design, build, and/or deliver ML models and components that solve real‑world business problems, with Product and Data Science teams
• Build and scale large multi‑tenant platforms for training and serving ML models
• Inform ML infrastructure decisions: model choice, data, features, training, hyperparameters, bias/variance, validation
• Write production-grade code, validate ML models, and automate tests and deployment
• Collaborate in an Agile team to deliver state‑of‑the‑art big data and ML apps
• Retrain, monitor, and maintain models in production
• Leverage cloud architectures to deliver optimized ML models at scale
• Construct data pipelines to feed ML models
• Adopt CI/CD, test automation, monitoring, and governance for responsible AI

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

Education

Bachelor's degree in CS/ML or related field

Tools

Docker

Job description

Capital One in New York, NY seeks a Machine Learning Engineer 5 to design, build, and scale production ML models. You will collaborate with Product and Data Science teams to deliver real‑world AI solutions and help shape ML infrastructure, data pipelines, and CI/CD practices.

The role requires 6+ years of ML experience with PyTorch or TensorFlow, and expertise in distributed systems, cloud (AWS/GCP/Azure), and Kubernetes.