Senior ML Engineer – Production-scale AI

Capital One

Chicago (IL)

On-site

USD 179,000 - 205,000

Full time

14 days+

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Job summary

Capital One is seeking a Machine Learning Engineer 4 to design, deploy, and monitor scalable ML models across production environments in Chicago. You will collaborate with Product and Data Science teams to solve real-world business problems using PyTorch, TensorFlow, and distributed systems like Spark/Ray.

Candidates should have strong cloud experience (AWS/GCP/Azure) and Kubernetes operations, with a focus on responsible AI practices.

Qualifications

Bachelor's degree in CS or related field.
4+ years Python/Java/Golang/C++ experience.
4+ years ML experience with PyTorch or TensorFlow.
4+ years distributed systems experience (Spark, Ray).
2+ years deploying ML in production on cloud (AWS, GCP, Azure) and using Kubernetes.

Responsibilities

Design, build, and deliver ML models and components solving real-world business problems with Product and Data Science teams.
Inform model/data choices using modeling techniques, data, feature selection, training, validation.
Write/test application code, develop/validate ML models, and automate tests and deployment.
Collaborate in an Agile team to create software enabling state-of-the-art big data and ML apps.
Retrain, maintain, and monitor models in production.
Leverage cloud architectures to scale ML models.