Machine Learning Engineer, CyberMLApply now Job ID R67557 Updated date 02/08/2019 Location Richmond, Virginia; Tysons Corner, 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.
Are you a high performing engineer or data scientist passionate about cutting edge Machine Learning research or applying the latest advances to production projects? Do you enjoy reading and investigating advancements in applied machine learning architectures and solution white papers? Would you like to participate in the creation of publishable advancements in machine learning? Or does the idea of building enterprise-class ML applications that solve real customer problems excite you? In Capital One’s CyberML, you'll be part of an elite team setting the example for machine learning research and applied machine learning as applied against Computer and Network Security problems.
Bachelor’s Degree or Military Experience
At least 3 years of experience working with Machine Learning, Deep Learning or Artificial Intelligence
At least 3 years programming in Python and at least 3 years programming in Ruby, or R, or Matlab, or C++, or Scala, or Java
At least 2 years of experience designing and building full stack solutions
Master’s Degree or PhD
2+ years of experience with cloud software design using microservices
3+ years of experience with machine learning libraries TensorFlow, or Pytorch, or Keras
What we work on:
Building machine learning models to detect phishing links, emails, and attachments
Applying classical machine learning as well as deep NNs to identify malicious network traffic
Building models to automate SOC personnel decision making and triage processes.
Who you are:
You have explored the intricacies of a data set to extract insights or have built models that predict or identify patterns used to answer high value business questions
You have contributed to full stack systems built for speed and distributed computing and feel proud to ship code to delight end users.
You desire being part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive schedule
You love to learn new technologies, keep abreast of the latest technologies within the cloud architecture, and drive your organization to adapt to emerging best practices
You are the go-to person to answer deep technical questions about which ML algorithms may improve results or what visualization is best to explore relationships in the data
It would be awesome if you have a robust portfolio on Github or open source contributions you are proud to share
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 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.
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