Sr. Distinguished Machine Learning Engineer - Card Tech (Remote Eligible)
Experience Sr. Director
Primary Address McLean, Virginia
OverviewLocations: VA - McLean, United States of America, McLean, VirginiaSr. Distinguished Machine Learning Engineer - Card Tech (Remote Eligible)
As a Capital One Sr. Distinguished Machine Learning Engineer, you'll be providing technical leadership to Agile teams 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 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. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.
The Sr. Distinguished Machine Learning Engineer will be a part of the Card Tech Machine Learning (CTML) organization and will be will be responsible for defining and delivering technical solutions with significant complexity that have broad cross-organizational impact in a production Machine Learning portfolio that spans platforms, operations, applied research, and platform migration and onboarding initiatives. These programs are in support of a robust horizontal program that scales Responsible AI practices across the entire ML/AI ecosystem within Card Technology. As Senior MLE, you will partner closely with internal enterprise ML platform(s), data science, enterprise data, cyber and cloud infrastructure teams, as well as line-of-business teams to oversee and influence the architectural and technical aspects from start to finish. A deep technical understanding of software engineering best practices, cloud infrastructure, batch and real-time machine learning, and platforms-as-a-service operating model is required. This role requires customer focus, effective communication and deep technical acumen. It also requires partnering with all levels of leadership and building consensus by representing, verbally and in writing, complex decisions, and tough trade-offs towards a north star ML vision that you will help craft.
What you’ll do in the role:
Deliver ML models and software components that solve challenging business problemsin 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-artintelligent systems.
Lead large-scale ML initiatives with the customer in mind.
Leverage cloud-based architectures and technologies to deliver optimized ML models atscale.
Optimize data pipelines to feed ML models.
Use programming languages like Python, Scala, or Java.
Evangelize best practices in all aspects of the engineering and modeling lifecycles.
Recruit, nurture, and retain top engineering talent.
Capital One is open to hiring a remote employee for this opportunity.
At least 10 years of experience designing and building data-intensive solutions usingdistributed computing.
At least 6 years of experience programming with Python, Scala, or Java.
At least 2 years of experience with the full ML development lifecycle using moderntechnology in a business critical setting.
Master's or doctoral degree in computer science, electrical engineering, mathematics, ora similar field.
3+ years of experience building production-ready data pipelines that feed ML models.
5+ years of experience in leading software engineering teams.
8+ years of experience within a large/data-intensive multi-line business environment.
Expertise designing, implementing, and scaling complex production-ready data pipelinesfor ML models.
Experience partnering with technology peers responsible for data architecture anddistributed computing infrastructure/platforms.
Ability to communicate complex technical concepts clearly to a variety of audiences.
Highly developed interpersonal, presentation, and communications skills.
ML industry impact through conference presentations, papers, blog posts, open sourcecontributions, or patents.
People management experience.
Ability to attract and develop high-performing software engineers with an inspiringleadership style.
At this time, Capital One will not sponsor a new applicant for employment
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Location is New York City: $304,825 - $359,625 for Sr Distinguished Machine Learning EngineerLocation is San Francisco, California: $322,937 - $380,993 for Sr Distinguished Machine Learning EngineerRemote roles in other areas of New York & California, and across Colorado & Washington: $258,323 - $304,763 for Sr Distinguished Machine Learning Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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).
How We Hire
We take finding great coworkers pretty seriously.
Step 1 Apply
It only takes a few minutes to complete our application and assessment.
Step 2 Screen and Schedule
If your application is a good match you’ll hear from one of our recruiters to set up a screening interview.
Step 3 Interview(s)
Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you.
Step 4 Decision
The team will discuss — if it’s a good fit for us and you, we’ll make it official!
How to Pick the Perfect Career Opportunity
Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence.
Your wellbeing is our priority
Our benefits and total compensation package is designed for the whole person. Caring for both you and your family.
Healthy Body, Healthy Mind
You have options and we have the tools to help you decide which health plans best fit your needs.
Save Money, Make Money
Secure your present, plan for your future and reduce expenses along the way.
Time, Family and Advice
Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell.
Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.
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Sr. Director of Technical Program Management (Remote Eligible)Wilmington, Delaware
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