Senior Manager, Machine LearningApply now Job ID R88292 Updated date 11/26/2019 Location Vienna, Virginia
At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
The Tron team within the Consumer Identity line of business at Capital One is working continuously to innovate the way we handle data to do fraud detection, smart authentication and risk assessment through analytics, infrastructure, valuation and strategy.
Who You Are:
You are naturally curious, a self starter and are motivated by delivering world-class solutions on an aggressive schedule
You have built performant, resilient full stack systems while holding a high bar for software engineering standards
You embrace DevOps principles, including continuous delivery and ongoing support of production applications
You love to learn and keep abreast of the latest technologies within cloud architecture & ML, and drive your organization to adapt to emerging best practices
It would be awesome if you have a robust portfolio on Github and/or open source contributions you are proud to share
- Master's Degree in Computer Science
- At least 8 years of experience with Python or Java or Scala
- At least 5 years of experience with Spark
- At least 3 years of experience with TensorFlow
- 8+ years of experience delivering applications from architectural design to production implementation
- 5+ years of hands-on experience in deploying scalable, distributed systems or multi-node database paradigms
- 3+ years of experience with cloud software design, containerized microservices & distributed caching
- 1+ years of experience building and supporting batch or real-time data processes with technologies including Airflow, Kafka, Spark, Kubernetes
- 1+ years of experience building dashboard to monitor the system performance
- 1+ years of experience with Machine Learning Infrastructure
Capital 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 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.
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).