Senior ML Engineer (IC) — Scale Production Models

Capital One; San Francisco (CA); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One in San Francisco is seeking a Machine Learning Engineer 5 to advance AI initiatives within a fast-paced, collaborative team. You will design, train, and deploy models, build scalable data pipelines, and maintain production systems using Python, Java, and cloud technologies.

The role engages cross-functional partners across Ops, Modeling, and Data Engineering and requires strong experience with PyTorch/TensorFlow and large-scale distributed systems.

Qualifications

• Bachelor’s degree or higher in CS/ML or a related quantitative field.
• 6+ years of Python/Java/Golang/C++ experience.
• 6+ years with PyTorch or TensorFlow and ML libraries.
• 4+ years deploying ML in production on cloud platforms.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Scale multi-tenant platforms for large-scale model training and serving.
• Inform ML infra decisions on data, features, training, and validation.
• Collaborate in Agile teams to build state-of-the-art ML applications.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Education

Bachelor’s Degree or higher in CS/ML or related field

Master’s or Doctoral Degree in CS/EE/Math

Tools

PyTorch

TensorFlow

Spark

Ray

Kubernetes

Pandas

NumPy

Scikit-learn

Job description

Capital One in San Francisco is seeking a Machine Learning Engineer 5 to advance AI initiatives within a fast-paced, collaborative team. You will design, train, and deploy models, build scalable data pipelines, and maintain production systems using Python, Java, and cloud technologies.

The role engages cross-functional partners across Ops, Modeling, and Data Engineering and requires strong experience with PyTorch/TensorFlow and large-scale distributed systems.