Staff Machine Learning Engineer

Capital One

. Deliver ML models and software components solving business problems in financial services .

Posted 9/29/2026full-timeUnited StatesLead💰 $244,700 - $307,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in delivering machine learning models and software components within financial services, leveraging cloud-based architectures and large-scale distributed systems. Proficient in programming languages such as Python, Java, and GoLang, with a strong focus on optimizing data pipelines and deploying machine learning solutions in production environments.

Highest-signal resume keywords

Machine Learning ExperiencePython ProgrammingCloud-Based ArchitecturesLarge-Scale Distributed SystemsKubernetes Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPythonJavaGoLangPyTorchTensorFlowPandasNumPyScikit-learnSpark

Soft Skills

Clear Communication

Tools & Technologies

DaskRAPIDSAWSGCPAzureRayKubernetes

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMachine Learning

Industry Keywords

Financial ServicesEngineering Best PracticesModeling LifecycleData Science

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaKubernetesNumpyPandasPythonPyTorchRayScalaScikit-LearnSparkTensorflowC++Go

About the role

Key responsibilities & impact

Deliver ML models and software components solving business problems in financial services
Collaborate with Product, Architecture, Engineering, and Data Science teams
Drive the creation and evolution of ML models and software for intelligent systems
Lead large-scale ML initiatives with the customer in mind
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Optimize data pipelines feeding ML models
Use Python, Scala, Java, and GoLang
Leverage Dask and RAPIDS compute technologies
Evangelize engineering and modeling lifecycle best practices
Help recruit, nurture, and retain engineering talent

Requirements

What you’ll need

Bachelor's Degree or higher in Computer Science, Machine Learning, or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 8 years of experience programming with Python, Java, Golang, or C++
At least 6 years of Machine Learning experience using PyTorch or TensorFlow and Pandas, NumPy, and Scikit-learn
At least 6 years of experience using and operating large-scale distributed systems such as Spark and Ray to prepare AI or Machine Learning data
At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in AWS, GCP, or Azure
Experience using Kubernetes to manage large-scale containerized Machine Learning software systems
Ability to communicate complex technical concepts clearly to a variety of audiences
Capital One will consider sponsoring a new qualified applicant for employment authorization
No agencies

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants who require them