Locations: VA - McLean, United States of America, McLean, Virginia
Director, Machine Learning Engineering (Remote-Eligible)
As a Capital One 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.
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.
Build enterprise grade software that makes it easy for teams to utilize the latest ML technologies
Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems.
Work with Data Scientists to test ideas and capabilities on real-world problems
Work closely with faculty members at several leading universities to conduct foundational ML research
Lead large-scale ML initiatives with the customer in mind.
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.
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 using distributed computing.
At least 6 years of experience programming with Python, Scala, or Java.
At least 5 years of people management experience.
At least 5 years of experience leading software engineering teams.
At least 3 years of experience with the full ML development lifecycle.
Master's or doctoral degree in computer science, electrical engineering, physics or mathematics.
3+ years experience in an R&D setting with a focus on building novel ML capabilities
8+ years of experience within a data-intensive multi-line business environment.
Expertise designing, implementing, and scaling complex production-ready data pipelines for ML models.
Strong interpersonal, presentation, and communications skills.
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
Ability to attract and develop high-performing software engineers with an inspiring leadership style.
At this time, Capital One will not sponsor a new 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 ; 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).