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Machine Learning Software Engineer

Job ID R92449 Updated date 02/14/2020 Location Cambridge, Massachusetts
1 Broadway (21026), 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.

Machine Learning Software Engineer

The Applied Research team within the Center for Machine Learning is looking for a Machine Learning Engineer. 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 Machine Learning (ML) to create the future of financial services. You’ll be 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.

Check out what the team is working on:

What you will bring to the role: 

  • You like to create things you are deeply proud of

  • You prefer to push yourself outside your intellectual comfort zone

  • You enjoy elevating your colleagues and excelling together

  • You delight in finding connections between disparate phenomena

  • You relish keeping up with the latest ML advances and love digging into the math and the code behind them

  • You love the thrill of using your expertise to develop ideas no one has tried before

  • You take pride in sharing your knowledge with others, both technical and non-technical audiences

Basic Qualifications: 

  • Bachelor's Degree

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

  • At least 2 years of experience with Diverse Data

Preferred Qualifications: 

  • Masters Degree or PhD

  • 2+ years experience with statistical methods, modern ML algorithms, and software engineering best practices

  • 2+ years experience with framework such as Tensorflow, Torch, PyMC3, or Stan

  • 3+ years experience with Julia, Scala, or C++

  • 2+ years experience solving concrete business problems with novel applications of ML

  • Recent publications at ML conferences and workshops

  • Technical writings, blog posts, open source projects and contributions

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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For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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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).