Senior Machine Learning Engineer - Production & Scale

Capital One; New York (NY); On-site; USD 177,000 - 201,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 3 in New York, NY to design, build, and deploy ML models at scale. You’ll collaborate with Product and Data Science teams, optimize ML infrastructure, and maintain models in production using Python, Java, Golang, or C++.

Experience with PyTorch/TensorFlow and distributed systems like Spark or Ray is required. You will work in a cross-functional Agile team leveraging cloud platforms (AWS/GCP/Azure) and Kubernetes, focusing on responsible AI and

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 3 years of experience programming with Python, Java, Golang, or C++
• At least 2 years of Machine Learning experience using PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn)
• At least 3 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
• At least 1 year 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, while collaborating with Product and Data Science teams
• Inform ML infrastructure decisions with modeling techniques, data selection, training, and validation
• Solve complex problems by coding, testing, and automating ML models and deployment
• Collaborate in a cross-functional Agile team to enable state-of-the-art big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage cloud architectures to deliver optimized ML models at scale
• Construct optimized data pipelines feeding ML models
• Apply CI/CD, test automation, and monitoring for successful deployment
• Ensure code governance and responsible AI practices

Skills

Python/Java/C++

ML model deployment

Big data processing

Cross-functional collaboration

Education

Bachelor's degree in CS/Math/related

Tools

PyTorch

TensorFlow

Spark

Ray

AWS

GCP

Azure

Kubernetes

Job description

Capital One is seeking a Machine Learning Engineer 3 in New York, NY to design, build, and deploy ML models at scale. You’ll collaborate with Product and Data Science teams, optimize ML infrastructure, and maintain models in production using Python, Java, Golang, or C++.

Experience with PyTorch/TensorFlow and distributed systems like Spark or Ray is required. You will work in a cross-functional Agile team leveraging cloud platforms (AWS/GCP/Azure) and Kubernetes, focusing on responsible AI and