Staff Machine Learning Engineer

About the role

As a Capital One Machine Learning Engineer, you will provide technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You will participate in detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms, serve as a technical domain expert, and mentor other engineers while continuously learning and applying the latest innovations and best practices.

Responsibilities

• Deliver ML models and software components that solve challenging business problems in the financial services industry, collaborating with 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 across 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 in 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.
• Demonstrated 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.

Pay

Salary ranges (full‑time annual):

• McLean, VA: $269,100 – $307,200 for Distinguished Machine Learning Engineer.
• Plano, TX: $244,700 – $279,200 for Distinguished Machine Learning Engineer.
• Other locations: salary will align with the pay range for the specific location.

This role is also eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives (LTI). Incentives may be discretionary or non‑discretionary depending on the plan.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well‑being. Eligibility varies based on full‑ or part‑time status, exempt or non‑exempt status, and management level.

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