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Capital One Senior Machine Learning Research Manager in Cambridge, Massachusetts

60 Hampshire Street (21003), United States of America, Cambridge, Massachusetts

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 Machine Learning Research Manager

In Capital One’s Center for Machine Learning, you’ll be using your knowledge to solve business problems across multiple important domains. Our Applied Research team develops novel applications of cutting-edge ML to create the future of financial services. You’ll be leading a team of researchers working in innovation areas that are critical for the future of the industry. These may include computer vision, representation learning, explainability, fairness, machine learning on graphs, Bayesian deep learning, AutoML, and any other topics that you feel are critical. Your work will result in both important impact in core business areas as well as in publications and open source projects.

To read a bit more about our work:

  • https://www.capitalone.com/tech/machine-learning/learning-embeddings-of-financial-graphs/

  • https://www.capitalone.com/tech/machine-learning/learning-to-read-computer-vision-methods-for-extracting-text-from-images/

  • https://www.capitalone.com/tech/machine-learning/get-onto-the-top-35-mnist-leaderboard-by-quantifying-aleatoric-uncertainty/

  • https://medium.com/capital-one-tech/why-you-dont-necessarily-need-data-for-data-science-48d7bf503074

  • https://medium.com/capital-one-tech/system-language-agnostic-hyperparameter-optimization-at-scale-and-its-importance-for-automl-92d9f9add416

You’ll be a good fit for this team if you prefer to push yourself outside your intellectual comfort zone, enjoy elevating your colleagues and excelling together, tend to bemoan business-as-usual projects/products and you take pride in sharing your knowledge with others, both technical and non-technical audiences. On this team you’ll get the opportunity to create things you are deeply proud of, find connections between disparate phenomena, keep up with the latest Machine Learning advances, and dig deeply into the math and the code behind them while using your expertise to develop ideas no one has tried before.

Basic Qualifications:

  • Bachelor’s Degree

  • At least 3 years of managerial experience

  • At least 5 years of experience with Python, C++ or Scala

  • At least 5 years of experience with framework such as Tensorflow, Torch, PyMC3, or Stan

  • At least 3 years experience applying statistical methods and Machine Learning algorithms

  • At least 3 years experience conducting Machine Learning research in academia or industry

Preferred Qualifications:

  • Master’s Degree or PhD in a quantitative discipline such as Machine Learning, Statistics, Applied Math, Physics, or related field

  • 5+ years experience solving concrete business problems with novel applications of Machine Learning

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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