As a Capital One Machine Learning Engineer youll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. Youll participate in the detailed technical design development and implementation of machine learning applications using existing and emerging technology platforms. Youll 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. Youll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Youll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.
What youll 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:
Bachelors 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:
Masters 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.
No agencies please. Capital One is an equal opportunity employer (EOE including disability/vet) committed to non-discrimination in compliance with applicable federal state and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law; San Francisco California Police Code Article 49 Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal state and local laws and regulations regarding criminal background inquiries.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- or via email at . 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 Ones recruiting process please send an email to
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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).
Required Experience:
Senior IC