Senior Lead Machine Learning Engineer

Sr. Lead Machine Learning Engineer at Capital One implementing machine learning applications and systems at scale.

Posted 6/13/2026full-timeNew York City • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaOpen SourcePythonPyTorchScalaScikit-LearnSparkTensorflow

Key responsibilities & impact

Design, build, and/or deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
Solve complex problems by writing and testing application code, developing, and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices
Ensure all code is well-managed to reduce vulnerabilities
Ensure the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.

What you’ll need

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field (preferred)
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform (preferred)
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow (preferred)
3+ years of experience developing performant, resilient, and maintainable code (preferred)
3+ years of experience with data gathering and preparation for ML models (preferred)
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents (preferred)
3+ years of experience building production-ready data pipelines that feed ML models (preferred)
Ability to communicate complex technical concepts clearly to a variety of audiences.

Comp & perks

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Hard Skills & Tools

machine learningPythonScalaJavaML frameworksscikit-learnPyTorchDaskSparkTensorFlow

Soft Skills

problem solvingcollaborationcommunicationleadership

Certifications

Bachelor's DegreeMaster's DegreeDoctoral Degree