Capital One Senior Software Engineer - Machine Learning in McLean, Virginia
McLean 2 (19052), United States of America, McLean, 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.
Senior Software Engineer - Machine Learning
Are you passionate about the transformative effect of Machine Learning ? Do you want to harness it to drive simplicity and humanity in banking ?
At Capital One’s Card Machine Learning team, you'll be part of an elite team setting the example for machine learning by building enterprise-class applications that solve real problems and meet real customer needs. We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences towards our mission of bringing simplicity and humanity to banking.
We are looking for a high-performing software engineer who will work closely with domain experts, data scientists and other high caliber engineers on the team, to help build, deploy and support cutting-edge machine learning solutions to address unique and complex problems in the financial services industry. Capital One leverages full stack technology solutions including streaming big data, state of the art machine learning, micro-service architecture, distributed computation engines, and intuitive visualizations in the cloud. We work with several cutting-edge technologies and actively develop and contribute to the open source community. You will work alongside highly technical peers with deep domain expertise in marketing, fraud detection to sophisticated NLP.
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
At least 4 years of experience with one of the following programming languages: Python, Scala
At least 1 year of experience with AWS, GCP or Azure
Master’s Degree (Software Engineering)
At least 5 years of experience delivering applications from architectural design to production implementation
At least 5 years of hands-on experience in deploying scalable, distributed systems or multi-node database paradigms.
At least 3 years of experience with cloud software design, containerized microservices & distributed caching
At least 3 years of experience with Java, Spring, REST APIs
Experience building and supporting batch or real-time data processes with technologies including Airflow, Kafka, Spark, Kubernetes
At this time, Capital One will not sponsor a new applicant for employment authorization for this position .