Lead ML Engineer - Production-Scale AI Systems

Capital One; Plano (TX); On-site; USD 244,700 - 279,200; Full time

Benefits offered by this job

Health benefits

Competitive compensation

Inclusive, equal-opportunity employer

Job summary

Capital One is seeking a Distinguished Machine Learning Engineer to provide technical leadership for productionizing ML applications at scale. You will design, develop, and implement ML solutions and guide architectural decisions while mentoring engineers to stay at the cutting edge of technology.

You will lead large‑scale ML initiatives, leverage modern tech stacks, and collaborate with product, architecture, and data science teams to deliver impactful outcomes.

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.

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.

Skills

Distributed computing

C/C++

Python

Scala

Education

Bachelor’s degree

Master’s degree

Tools

Dask

RAPIDS

NumPy

Pandas

Scikit-learn

Job description

Capital One is seeking a Distinguished Machine Learning Engineer to provide technical leadership for productionizing ML applications at scale. You will design, develop, and implement ML solutions and guide architectural decisions while mentoring engineers to stay at the cutting edge of technology.

You will lead large‑scale ML initiatives, leverage modern tech stacks, and collaborate with product, architecture, and data science teams to deliver impactful outcomes.