Machine Learning Engineer- Cloud Deployment (Remote)

Company: Capital One Careers
Location: York
Posted on: October 31, 2024

Job Description:

Distinguished Machine Learning Engineer

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.

You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. In this role, you will be supporting the Bank Tech organization. You will lead development and implementation that will enable business initiatives, working with other leaders and teams across the enterprise to enable these solutions.--

Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Explore new cloud technologies and identify applications to leverage their potential
Develop patterns for cloud to enable emerging business initiatives
Evangelize cloud strategy, solutions and best practices across the enterprise

Bachelor's Degree
At least 7 years of experience with solution architecture or software engineering
At least 5 years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 3 years of experience with Machine Learning frameworks (Pytorch, TensorFlow, XGBoost, ScikitLearn)

Master's Degree in Computer Science or a related field
-10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support
-7+ years of experience using Python or Java, or Go, and SQL
-6+ years of experience in Machine Learning frameworks (Pytorch, TensorFlow, XGBoost, ScikitLearn, etc.)
-1+ year of experience deploying machine learning models


The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer


This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the -- Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.
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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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.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.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. (

Keywords: Capital One Careers, Philadelphia , Machine Learning Engineer- Cloud Deployment (Remote), Engineering , York, Pennsylvania