Distinguished Machine Learning Engineer

Overview

Distinguished Machine Learning Engineer. As a Capital One Machine Learning Engineer, you’ll provide technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You’ll also mentor other engineers and further develop your technical knowledge to keep Capital One at the cutting edge of technology.

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.
• Evangelize best practices in all aspects of the engineering and modeling lifecycles.
• Help recruit, nurture, and retain top engineering talent.

Basic Qualifications

• 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.

Preferred Qualifications

• Master’s Degree.
• 3+ years of experience designing, implementing, and scaling production‑ready data pipelines that feed ML models.
• 2+ years of experience using Dask, RAPIDS, or high‑performance computing.
• 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit‑learn).
• 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.

Salary & Benefits

Min and max full‑time annual salaries: McLean, VA: $269,100 - $307,200; Plano, TX: $244,700 - $279,200. The role is eligible to earn performance‑based incentive compensation. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on status, exempt or non‑exempt, and management level.

Employment Authorization

Capital One will consider sponsoring a qualified applicant for employment authorization.

Equal Opportunity Employer

Capital One is an equal‑opportunity employer (EOE, including disability and veteran status) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries. For accommodations, contact Capital One Recruiting at 1‑800‑304‑9102 or via email at