Senior Manager, Software Engineering, Machine Learning - Capital One Software (Remote) jobs in United States
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Capital One · 8 hours ago

Senior Manager, Software Engineering, Machine Learning - Capital One Software (Remote)

Capital One is a leading financial services company that has embraced technology and data to drive innovation. The Senior Manager, Software Engineering, Machine Learning role focuses on producing machine learning applications and systems at scale, collaborating with cross-functional teams to solve real-world business problems through ML engineering activities.

BankingCredit CardsFinanceFinancial Services
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Comp. & Benefits
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H1B Sponsorednote

Responsibilities

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
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 that enables state-of-the-art big data and ML applications
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, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

Qualification

Machine Learning EngineeringCloud-based ArchitecturesData Pipeline DevelopmentPython ProgrammingML FrameworksData PreparationAgile CollaborationTeam LeadershipContinuous IntegrationCommunication SkillsProblem Solving

Required

Bachelor's degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
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
At least 4 years of people management experience

Preferred

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
3+ years of experience building production-ready data pipelines that feed ML models
Ability to communicate complex technical concepts clearly to a variety of audiences
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Company

Capital One

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Capital One is a financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.

H1B Sponsorship

Capital One has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (723)
2024 (488)
2023 (545)
2022 (909)
2021 (672)
2020 (944)

Funding

Current Stage
Public Company
Total Funding
$5.45B
Key Investors
Berkshire Hathaway
2025-09-11Post Ipo Debt· $2.75B
2025-01-30Post Ipo Debt· $1.75B
2023-05-15Post Ipo Equity· $954M

Leadership Team

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Lo Li
CTO, Managing Vice President Retail Bank
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Daniel Arellano
Senior Vice President, Business Cards and Payments
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Company data provided by crunchbase