Senior ML Engineer: Scale Production Models in the Cloud

Capital One; San Jose (CA); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 4 in San Jose, CA to drive AI transformations and scale production models across the organization. You will design and deploy ML models, build data pipelines, and collaborate with cross-functional teams in a fast-paced, iterative environment.

The role requires 4+ years in programming with Python/Java/Golang/C++, 4+ years in ML with PyTorch/TensorFlow, and experience with large-scale distributed systems and cloud platforms.

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 4 years of experience programming with Python, Java, Golang, or C++
• At least 4 years of Machine Learning 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 or Machine Learning data
• At least 2 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 ML software systems

Responsibilities

• Design, build, and/or deliver ML models and components that solve real-world business problems, collaborating with Product and Data Science teams
• Inform ML infrastructure decisions with understanding of modeling techniques, data, and feature selection
• Write and test application code, develop and validate ML models, and automate tests and deployment
• Collaborate in a cross-functional Agile team to create and enhance software for state-of-the-art big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Use CI/CD, test automation and monitoring to ensure deployment of ML models and application code
• Ensure code is well-governed from a risk perspective and ML follows Responsible AI practices
• Use programming languages like Python, Scala, or Java

Skills

Python

Java

Golang

C++

Education

Bachelor's or higher in CS or related field

Tools

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

Job description

Capital One is seeking a Machine Learning Engineer 4 in San Jose, CA to drive AI transformations and scale production models across the organization. You will design and deploy ML models, build data pipelines, and collaborate with cross-functional teams in a fast-paced, iterative environment.

The role requires 4+ years in programming with Python/Java/Golang/C++, 4+ years in ML with PyTorch/TensorFlow, and experience with large-scale distributed systems and cloud platforms.