Machine Learning Engineer
Locations: VA - McLean, United States of America, McLean, VirginiaMachine Learning EngineerAs a Capital One Machine Learning Engineer, you'll be part of an Agile team 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. Working within an Agile environment, you'll focus on machine learning architectural design, develop and review model and application code, and ensure 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 to keep Capital One at the cutting edge of technology.What you'll do in the role:Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teamsSolve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deploymentCollaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applicationsLeverage cloud-based architectures and technologies to deliver optimized ML models at scaleConstruct optimized data pipelines to feed ML modelsUse programming languages like Python, Scala, or JavaLeverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application codeBasic Qualifications:Bachelor's degreeAt least 2 years of experience designing and building data-intensive solutions using distributed computingAt least 2 years of experience programming with Python, Scala, or JavaAt least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)Preferred Qualifications:Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform1+ years of experience working with large code bases in a team environment1+ years of experience with distributed file systems or multi-node database paradigmsContributed to open source ML software1+ years of experience building production-ready data pipelines that feed ML modelsAt 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. 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 City's Fair Chance Act; Philadelphia's 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 1-800-304-9102 or via email at RecruitingAccommodation@. 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@Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.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).