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Senior Machine Learning Engineer

Capital One
Wilmington, DE Full Time
POSTED ON 2/18/2025
AVAILABLE BEFORE 5/9/2025

As a Senior Machine Learning Engineer at Capital One, you will play a crucial role in leading engineering teams focused on advancing machine learning applications and systems for large-scale use. You will be actively involved in the technical design, development, and implementation of cutting-edge machine learning solutions utilizing both established and innovative technology platforms. Your expertise will guide architectural design decisions, ensure the excellence of model and application code, and maintain optimal performance for our machine learning applications. This position offers the chance to continuously enhance your skills and integrate the latest advancements in machine learning engineering, while also providing mentorship to fellow engineers to keep Capital One at the forefront of technology.

In this position, you will be integral to the Bank Tech organization, driving the development and implementation of solutions that advance business initiatives in collaboration with other leaders and teams throughout the organization.

Key Responsibilities :

  • Develop ML models and software solutions that address complex challenges within the financial services sector, collaborating closely with Product, Architecture, Engineering, and Data Science teams.
  • Lead the innovation and enhancement of ML models and software that enable sophisticated intelligent systems.
  • Oversee large-scale ML projects with a focus on customer-centric outcomes.
  • Utilize cloud technologies to deploy optimized ML models at scale effectively.
  • Improve data pipelines for ML model efficiency.
  • Employ programming languages such as Python, Scala, C, or C .
  • Utilize advanced computing technologies including Dask and RAPIDS.
  • Promote best practices throughout the engineering and modeling lifecycle.
  • Participate in recruiting, developing, and retaining exceptional engineering talent.

Basic Qualifications :

  • Bachelor's degree.
  • Minimum of 10 years of experience in designing and implementing data-intensive solutions with distributed computing.
  • At least 6 years of programming experience in C, C , Python, or Scala.
  • A minimum of 3 years of involvement with the full ML development lifecycle in mission-critical environments.
  • At least 2 years of experience with Dask, RAPIDS, or High Performance Computing.
  • A minimum of 2 years working with the PyData ecosystem (NumPy, Pandas, and Scikit-learn).
  • Preferred Qualifications :

  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a related field.
  • 3 years of experience designing and scaling production-grade data pipelines that support ML models.
  • 8 years of experience in a multi-line business environment with a focus on data intensity.
  • Experience collaborating with technology peers on data architecture and distributed computing infrastructure.
  • Strong communication skills to convey complex technical concepts to diverse audiences.
  • Demonstrated impact in the ML field via presentations, publications, or open-source contributions.
  • Proven ability to attract and nurture high-performing software engineers through an inspiring leadership approach.
  • This position is open to applicants at various locations, including Richmond, VA; New York, NY; McLean, VA; Philadelphia, PA; and Wilmington, DE. The salary range for this role is as follows :

  • Richmond, VA : $239,900 - $273,800
  • New York, NY : $287,800 - $328,500
  • McLean, VA : $263,900 - $301,200
  • Philadelphia, PA : $239,900 - $273,800
  • Wilmington, DE : $239,900 - $273,800
  • This role is also eligible for performance-based incentive compensation and a comprehensive set of health, financial, and other benefits to support your overall well-being. Capital One is an equal opportunity employer dedicated to diversity and inclusion in the workplace. All qualified candidates will be considered for employment without regard to any prohibited basis under applicable law.

    Salary : $239,900 - $273,800

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