Senior Machine Learning Engineer at Capital One

McLean, Virginia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Bachelor’s degree
At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
At least 3 years of experience designing and building data-intensive solutions using distributed computing
At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
At least 1 year of experience productionizing, monitoring, and maintaining models
Preferred: 1+ years of experience building, scaling, and optimizing ML systems
Preferred: 1+ years of experience with data gathering and preparation for ML models
Preferred: 2+ years of experience developing performant, resilient, and maintainable code
Preferred: Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Preferred: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
Preferred: 3+ years of experience with distributed file systems or multi-node database paradigms
Preferred: Contributed to open source ML software
Preferred: Authored/co-authored a paper on a ML technique, model, or proof of concept
Preferred: 3+ years of experience building production-ready data pipelines that feed ML models
Preferred: Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

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 ML infrastructure decisions using 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

Skills

Machine Learning

ML Models

ML Infrastructure

Data Pipelines

CI/CD

Cloud Architectures

Agile

Big Data

Hyperparameter Tuning

Model Training

Model Monitoring

Test Automation

Capital One

Offers diverse financial products and services

About Capital One

Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.

McLean, VirginiaHeadquarters

2014Year Founded

$15.9MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Senior Machine Learning Engineer at Capital One

Requirements

Responsibilities

Skills

Capital One

About Capital One

Benefits

Medical, Dental, & Vision coverage

Onsite Health Centers

Prescription saving with network of local pharmacies

Stock Purchase Plan

Education Assistance

401(k)

Flexible Spending Accounts

Life and Disability insurance

Generous paid time off + corporate & floating holidays

Registered dieticians on site, cooking classes and free virtual fitness classes

Employee Assistance Program

Risks

Increased competition in subscription management tools may dilute Capital One's advantage.

Over-reliance on partnerships could expose Capital One to technological risks.

Departure of key personnel like Joe Rodriguez may affect risk management continuity.

Differentiation

Capital One offers user-friendly banking with no fees or minimums for checking accounts.

The company partners with Khan Academy to provide financial literacy education.

Capital One is the first major U.S. bank to offer subscription management tools.

Upsides

Capital One's mobile app is a model for secure, user-friendly digital banking.

Data sharing with Worldpay enhances payment security and fraud prevention.

Partnerships with fintechs like Minna Technologies improve customer experience.

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