• Research Scientist Jobs in United States Of America - 25677686

  • United States Of America, Usa
  • Save Job
  • 6 - 9 Years
  • Posted : above 1 month

Job Description:

At Capital One, were 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

Research Scientist (Machine Learning Engineer)

Are you a high performing software engineer, data scientist or research scientist looking to take part in some of the most cutting edge research and production projects Do you enjoy reading and investigating advancements in various applied machine learning architectures and solution white papers Would you like to take part or drive the creation of publishable advancements in machine learning across various disciplines You could be a great match for a Machine Learning Engineer (Research Scientist) role at Capital Ones Center for Machine Learning (C4ML)

As a Machine Learning Engineer (Research Scientist) in C4ML, you will contribute to building fast data and machine learning solutions to create and improve some of the most interesting use cases in the financial services industry Capital One maintains a full stack of technology solutions including streaming big data, state of the art machine learning, micro-service architecture, distributed computation engines, and intuitive visualizations in the cloud To manage this, we are working with several cutting-edge technologies and are actively developing and contributing to the open source community We are highly technical with strong backgrounds in our fields to support use cases ranging from cyber threat prevention to sophisticated NLP understanding in an always on 24/7 service architecture We have the highest executive support for acting as a catalyst of machine learning across Capital One providing our researchers extraordinary diversity in topics

What you will bring to the role

Excellent communication skills evidenced by multiple white papers (internal proprietary or externally published)

Demonstrated ability to build full stack systems architected for speed and distributed computing

Demonstrated ability to quickly learn new tools and paradigms to deploy cutting edge solutions

Experience mentoring junior engineers

Adept at simultaneously working on multiple projects, meeting deadlines, and managing expectations

What you will do in the role

Act as an advisor to various lines of business to help create or improve projects

Develop both deployment architecture and scripts for automated system deployment in AWS

Code new machine learning paradigms, sometimes from first principles, for integration into production systems

Learn and work with subject matter experts to create large scale deployments using newly researched methodologies

Construct data staging layers and fast real-time systems to feed machine learning algorithms

Create white papers, attend conferences, and contribute to open source software

Basic Qualifications

Bachelors Degree or Military Experience

At least 2 years of experience designing and building full stack solutions using distributed computing

At least 2 years of experience integrating with codebases

At least 2 years of experience working with Python, Scala, or Java

At least 2 years of experience with leading distributed file systems or multi-node database paradigms

Preferred Qualifications

Masters Degree

At least 2 years of research experience

At least 4 years of experience in designing and building full stack solutions using distributed computing

At least 6 years of experience integrating with codebases

At least 4 years working with Python, Scala, and Java

At least 4 years of experience with leading distributed file systems and multi-node database paradigms

At least 2 years leading teams in code development and balancing feature requests with feasibility constraints

A history of publications and conference attendance

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Others - other Industry
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 15th Jul 2020

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