Capital One: Sr. Distinguished Engineer – Machine Learning Platform

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

Distinguished Engineer Machine Learning PlatformCapital One is committed to becoming a leader in machine learning, using it to deliver world-class financial services products and experiences to our customers.

We are seeking a Sr.

Distinguished Engineer to work on our Machine Learning Platform and help lead, build and drive this transformation across our entire company.

This individual will be part of our technology organization, and will lead teams building ML platforms and tools that transform the way we make decisions.

Capital Ones technology organization leads the financial services industry.

We have adopted public cloud (AWS) for our technology infrastructure, and this provides the compute and storage capabilities necessary to power machine learning at a scale and speed that was not previously possible.

We are undertaking a massive transformation in our data ecosystem to enable real-time streaming data and modern analytics platforms that can handle the volume and variety of data available at Capital One.

We have recruited the best technology talent in financial services.

We are increasingly becoming a platform-oriented company with data and machine learning platforms as key drivers for our business.

At Capital One we believe that machine learning represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry.

Capital Ones commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company.

At Capital One, diversity, inclusion and belonging are valued at our core.

We empower our associates to do great work by creating an inclusive culture we call this our Culture of Belonging, and it rests at the heart of our Diversity, and Inclusion & Belonging (DIB) efforts.

It is of paramount importance that this individual values diverse perspectives, fosters collaboration and encourages innovative ideas and can create a place where associates of all backgrounds can thrive by bringing their most authentic selves to work.

Our Distinguished Engineers 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 practicesVisionaries, collaborating on and solving Capital Ones toughest issues, to deliver on business needs that directly impact the lives of millions of our customers and associatesRole models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product communityEvangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilitiesLeaders who gain the trust and confidence of those around them, from hands on engineers to executives Responsibilities:Establish a world-class competency in machine learning platforms and tooling at Capital One by helping to build and lead a team of the brightest minds in machine learning and engineeringBuild the vision and the roadmap, defining what the priorities should be, and creating both near-term and long-term wins from the application of machine learningAs a naturally curious leader, stay abreast of and determine how to fully leverage existing and emerging machine learning techniques and frameworks to continuously keep us at the forefrontCreate a robust operating model for machine learning applications that provides a clear development path from POC to prototype to full enterprise-class capabilitiesNurture a healthy collaborative engineering culture, and provide transparency to business and technology leaders on selection and prioritization of machine learning capabilities and their progressPartner with the enterprise risk partners to stand up proper governance and oversight of machine learning capabilities Basic Qualifications:Bachelors DegreeAt least 8 years of experience developing software systems or platformsAt least 3 years of experience with Microservices architectureAt least 2 years of experience with KubernetesAt least 2 years of experience with AWS Preferred Qualifications:Masters or PhD in Machine Learning or Artificial Intelligence15+ years of experience architecting and developing software systems or platforms6+ years of experience with Python4+ years of experience with machine learning platforms and core technologies4+ years of experience in Machine Learning4+ years of experience with Kubernetes4+ years of experience with Docker3+ years of experience with Go3+ years of experience developing machine learning algorithms and models using C++ or Python and Scikit-learn, PyTorch, Keras, or Tensorflow3+ years of experience in AWSCapital 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).