Senior ML Engineer Leader - Scale Production AI Systems

Capital One; McLean (VA); On-site; USD 315,000 - 359,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer to provide technical leadership across production ML systems at scale in McLean, VA. You will guide architectural design decisions, review model and application code, and mentor engineers while delivering ML models and software components with cross-functional teams including Product, Architecture, Engineering, and Data Science.

Required skills include Python, Scala, and C/C++, plus experience with distributed computing and end-to-end ML

Qualifications

• Bachelor’s degree in a related field.
• At least 10 years of experience designing and building data-intensive solutions.
• At least 7 years of experience programming in C, C++, Python, or Scala.
• At least 4 years of experience with the full ML development lifecycle 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
• 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

Skills

Python

Scala

C/C++

Distributed computing

ML lifecycle

Leadership

Education

Bachelor's degree

Master's degree

Tools

Dask

RAPIDS

NumPy

Pandas

Scikit-learn

Job description

Capital One is seeking a Machine Learning Engineer to provide technical leadership across production ML systems at scale in McLean, VA. You will guide architectural design decisions, review model and application code, and mentor engineers while delivering ML models and software components with cross-functional teams including Product, Architecture, Engineering, and Data Science.

Required skills include Python, Scala, and C/C++, plus experience with distributed computing and end-to-end ML