Senior Distinguished Machine Learning Engineer

As a Capital One Machine Learning Engineer, you'll be providing 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 machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.

What you’ll do in the role:

• 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

Basic Qualifications:

• Bachelor’s degree

• At least 10 years of experience designing and building data-intensive solutions using distributed computing

• 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 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

• 3+ years of experience using Dask, RAPIDS, or in High Performance Computing

• 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)

• ML industry impact through conference presentations, papers, blog posts, or open source contributions

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).