Senior Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) 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 Services, BiotechnologyIndustries

Requirements

Candidates must possess a Bachelor's degree and at least 4 years of programming experience with Python, Scala, or Java. They should also have a minimum of 3 years of experience in designing and building data-intensive solutions using distributed computing, at least 2 years of experience with industry-recognized ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow, and at least 1 year of experience in productionizing, monitoring, and maintaining models. Preferred qualifications include over 1 year of experience building, scaling, and optimizing ML systems, over 1 year of experience with data gathering and preparation for ML models, and over 2 years of experience developing performant, resilient, and maintainable code. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform is also preferred, along with a Master's or doctoral degree in a relevant field and extensive experience with distributed file systems or multi-node database paradigms. Contributions to open source ML software, authorship of ML-related papers, and significant experience building and evaluating complex data pipelines for ML models are highly desirable.

Responsibilities

The Senior Machine Learning Engineer will work within an Agile team to productionize machine learning applications and systems at scale, participating in the detailed technical design, development, and implementation of these applications. Responsibilities include designing, building, and delivering ML models and components, informing ML infrastructure decisions based on an understanding of ML modeling techniques, and solving complex problems by writing and testing application code. The role involves developing and validating ML models, automating tests and deployment, collaborating with cross-functional teams to create and enhance big data and ML applications, and retraining, maintaining, and monitoring models in production. Engineers will leverage or build cloud-based architectures and technologies for optimized ML model delivery at scale, construct optimized data pipelines, and utilize continuous integration and continuous deployment best practices. Ensuring code is well-managed for reduced vulnerabilities, models are governed from a risk perspective, and ML practices follow Responsible and Explainable AI guidelines are also key duties.

Skills

Machine Learning

Deep Learning

Python

AWS

ML Algorithms

Model Development

Model Deployment

Data Pipelines

Model Monitoring

Cloud Architecture

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 (ML Algorithms, Deep Learning, Python, AWS) 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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