11 West 19th Street (22008), United States of America, New York, New York


Director of Software Engineering- Emerging Merchant Business (Remote Eligible)


Capital One is committed to becoming a leader in machine learning, and using machine learning to deliver better financial services to our customers. As a Director of Software Engineering, you are a part of the Emerging Merchant Businesses (EMB) team who is dedicated to making Capital One the go to place for merchants who want to grow their customer base.


We use our proprietary data, relationships, and platforms to enable merchants to make real-time intelligent marketing, customer experience and payment decisions to better serve their customers. EMB is composed of incredibly exciting Capital One businesses, including Capital One Shopping (high value, incremental sales), Buy Now Pay Later (checkout conversion) and Apollo (consumer insights engine).


As part of the Apollo team, you will work alongside experts who are building technology that allows us to acquire, understand, and make inferences on large, disparate business data sets. This requires ideas from across the machine learning skillset, applied to problems and data that are unique to our business. You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.


Our Directors Are:


+ Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices

+ Strong people leaders who are experienced in leading engineers and managers of engineers.

+ Visionaries, helping solve Capital Ones toughest technology challenges, to deliver on business needs that directly impact the lives of millions of our customers and associates

+ Experts in recruiting and managing technical teams, including performance management

+ Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community


Responsibilities:


+ Build a world-class machine learning product at Capital One by tackling some seriously thorny issues like infrastructure complexity abstraction, data access and feature registration, integration with back-end Capital one systems, how to scale a massive model product offering while remaining efficient and well managed, how to do all of this while maintaining an easy to use data experience.

+ Set vision to truly disrupt the financial services industry through leading edge machine learning capabilities. Build the vision and the roadmap as to where the organization will go, what the priorities should be, creating both near-term and long-term wins from the delivery of the foundational platform that all machine learning will run on.

+ As a naturally curious leader, stay abreast of and determine how to fully leverage existing and emerging machine learning offerings where applicable.

+ Contribute to developing a robust operating model for machine learning applications that provides a clear development path from POC to prototype to full production capabilities.

+ Nurture a healthy collaborative engineering culture, and provide transparency to business and technology leaders on selection and prioritization of machine learning capabilities and their progress.

+ Partner with the enterprise risk partners to stand up proper governance and oversight of machine learning capabilities.


Capital One is open to hiring a Remote Employee for this opportunity.


Basic Qualifications:


+ Bachelors Degree

+ At least 7 years of experience in Software Engineering

+ At least 5 years of people management experience

+ At least 4 years of working with a data or Machine Learning platform.

+ At least 4 years of experience in cloud native development


Preferred Qualifications:


+ Masters Degree

+ 8+ years of experience in building a multi-tenant platform and scaling.

+ 6+ years of experience in AWS

+ 4+ years experience working with Machine Learning platforms (SageMaker, EMR, KubeFlow, Vertex AI)

+ 5+ years of experience with machine learning, deep learning, and statistical modeling using Scikit Learn, XGBoost, TensorFlow, Keras, or PyTorch.


Capital One will consider sponsoring a new qualified 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 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 1-800-304-9102 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


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).