Machine Learning Engineer

Company Name: 
Category: 
Software & Web Development
Status: 
Full-Time
Post Date:  
9/25/2018
Contact Email: 
Description: 

Machine Learning Software Engineer

Apply here: https://rolp.co/VBMlf

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? At Capital One’s Center for Machine Learning (C4ML), you'll be part of an elite team setting the example for machine learning research and applied machine learning.

The team at Data Innovation Team (part of C4ML) on the UIUC campus in research park is specifically focused on unsupervised and semi-supervised solutions to data related problems. Whether it is profiling data, identifying & tracking model drift, or creating synthetic data - we are a tight knit group, focusing on machine learning problems which deliver high value.

What we work on:

  • Generating synthetic data, utilizing RNNs and GANs

  • Identify complex data types, utilizing RNNs (think SSN, Address, Phone Number)

  • Developing distributed and serverless systems to enable machine learning in the cloud

  • Hyperparameter tuning at an enterprise scale

  • Patent our cutting edge technologies

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 algorithm 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

Basic Qualifications:

  • Bachelor’s Degree or Military Experience

  • At least 1 years of experience working with Machine Learning, Deep Learning or Artificial Intelligence

  • At least 1 year of experience programming in Python and either Ruby, R, Matlab, C++, Scala or Java

  • At least 1 years of experience designing and building full stack solutions

Preferred Qualifications:

  • Master’s Degree or PhD

  • At least 2 years of experience with cloud software design using microservices

  • At least 2 years of experience with machine learning libraries such as TensorFlow, Pytorch or Keras

  • A history of publications and conference attendance

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.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email atRecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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)