Capital One is looking for a Machine Learning Engineers in None – Apply Here!
Locations: VA – McLean, United States of America, McLean, Virginia
Sr. 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 problems
in 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-art
• Lead large-scale ML initiatives with the customer in mind.
• Leverage cloud-based architectures and technologies to deliver optimized ML models at
• 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.
• Bachelor’s degree.
• At least 10 years of experience designing and building data-intensive solutions using
• 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 modern
technology in a business critical setting.
• Master’s or doctoral degree in computer science, electrical engineering, mathematics, or
a 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 pipelines
for ML models.
• Experience partnering with technology peers responsible for data architecture and
distributed 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 source
contributions, or patents.
• People management experience.
• Ability to attract and develop high-performing software engineers with an inspiring
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 and $359,625 for Sr Distinguished Machine Learning Engineer
Location is Colorado
– $284,177 and $335,265 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.
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 ; 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.
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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).