Machine Learning Engineer, Intelligent Foundations

Salary: $215,200 - 245,600 per year Requirements:

• We require a bachelors degree or higher in Computer Science, Machine Learning, or a related quantitative discipline such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering
• We expect at least 4 years of programming experience with Python, Java, Golang, or C++
• We require at least 4 years of machine learning experience using industry-standard frameworks such as PyTorch or TensorFlow and libraries including Pandas, NumPy, and Scikit-learn
• We expect at least 4 years of experience working with large-scale distributed systems such as Spark or Ray to prepare AI/ML data
• We require at least 2 years of experience deploying and operating machine learning solutions in production and running cloud-based services in AWS, GCP, or Azure, including Kubernetes for large-scale containerized ML systems
• A masters or doctoral degree in Computer Science, Electrical Engineering, Mathematics, or a related field is preferred
• 3+ years of experience optimizing machine learning algorithms, configurations, and infrastructure is preferred
• 3+ years of experience applying software development best practices such as source control, testing, code reviews, and CI/CD is preferred
• 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment methods, monitoring, alarms, and incident response planning is preferred
• 3+ years of experience with machine learning methods, model types, architectures, training concepts, and model evaluation is preferred
• 3+ years of experience designing, implementing, and scaling production-ready data pipelines for ML training and evaluation is preferred
• 1+ years of experience serving as a technical lead on ML solutions using industry best practices, patterns, and automation is preferred
• Prior authorship or co-authorship of a paper on an ML technique, model, or proof of concept is preferred

• We work across multiple disciplines, including operations, modeling, and data engineering, and contribute to a range of ML engineering activities
• We design, build, and deliver ML models and components that address real business challenges in partnership with Product and Data Science teams
• We use our understanding of ML modeling techniques to guide infrastructure decisions, including model selection, data and feature choices, training, hyperparameter tuning, dimensionality, bias-variance tradeoffs, and validation
• We solve complex problems by writing and testing application code, developing and validating ML models, and automating testing and deployment
• We collaborate in cross-functional Agile teams to build and improve software for advanced big data and machine learning applications
• We retrain, maintain, and monitor models in production
• We use or create cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale
• We build efficient data pipelines to supply ML models
• We apply continuous integration and continuous deployment practices, including test automation and monitoring, to support reliable deployment of ML models and application code
• We ensure code is well managed to reduce vulnerabilities, models are governed from a risk perspective, and ML solutions follow Responsible and Explainable AI best practices
• We use programming languages such as Python, Scala, or Java

• AI
• AWS
• Azure
• Big Data
• CI/CD
• Cloud
• GCP
• Golang
• Support
• Java
• Kubernetes
• Machine Learning
• PyTorch
• Python
• Scala
• Spark
• TensorFlow
• numpy
• pandas
• Model Training

More:

We are Capital One, and we are hiring for our Intelligent Foundations and Experiences (IFX) team. This Machine Learning Engineer 4 role is based in New York, NY, with a listed salary range of $215,200 to $245,600 for that location, plus potential performance-based incentive compensation. We offer a comprehensive, competitive, and inclusive benefits package that supports overall well-being, and eligibility varies by employment status and level. Applications are accepted for a minimum of 5 business days. We are an equal opportunity employer and promote a drug-free workplace. We also note that we do not sponsor new employment authorization or provide immigration-related support for this position.

last updated 40 week of 2026