Full-Time

Distinguished Machine Learning Engineer

Posted on 1/14/2025

Capital One

Capital One

10,001+ employees

Offers diverse financial products and services

Fintech
Financial Services

Compensation Overview

$239.9k - $328.5kAnnually

+ Performance-based incentive compensation + Cash bonuses + Long-term incentives

Expert

H1B Sponsorship Available

Philadelphia, PA, USA + 4 more

More locations: McLean, VA, USA | Richmond, VA, USA | New York, NY, USA | Wilmington, DE, USA

Candidates must be based in one of the specified locations.

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Scikit-learn
Python
Machine Learning
Pandas
Scala
NumPy
C/C++

You match the following Capital One's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor’s degree.
  • At least 10 years of experience designing and building data-intensive solutions using distributed computing.
  • At least 6 years of experience programming in C, C++, Python, or Scala.
  • At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting.
  • At least 2 years of experience using Dask, RAPIDS, or in High Performance Computing
  • At least 2 years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)
Responsibilities
  • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.
  • Drive the creation and evolution of ML models and software that enable state-of-the-art 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 to feed ML models.
  • Use programming languages like Python, Scala, C/C++.
  • Leverage compute technologies such as Dask and RAPIDS.
  • Evangelize best practices in all aspects of the engineering and modeling lifecycles.
  • Help recruit, nurture, and retain top engineering talent.
Desired Qualifications
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
  • 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models.
  • 8+ years of experience within a large/data-intensive multi-line business environment.
  • Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure/platforms.
  • Ability to communicate complex technical concepts clearly to a variety of audiences.
  • ML industry impact through conference presentations, papers, blog posts, or open source contributions.
  • Ability to attract and develop high-performing software engineers with an inspiring leadership style.

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 while providing comprehensive support and resources to help customers make informed financial decisions.

Company Stage

IPO

Total Funding

$15.9M

Headquarters

McLean, Virginia

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased focus on digital banking enhances Capital One's user-friendly solutions.
  • Growing interest in ESG investing aligns with Capital One's financial inclusion commitment.
  • Fintech partnerships offer opportunities for Capital One Ventures to invest in innovative startups.

What critics are saying

  • Facing multiple lawsuits for allegedly defrauding customers out of $2 billion.
  • Class action lawsuit from influencer accusing Capital One of stealing link commissions.
  • Involvement in Israeli cybersecurity startup may expose Capital One to geopolitical risks.

What makes Capital One unique

  • Capital One leverages data and technology to revolutionize the credit card industry.
  • The company offers user-friendly banking solutions with no fees or minimums for checking accounts.
  • Capital One emphasizes financial literacy through partnerships with organizations like Khan Academy.

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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

INACTIVE