
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
As a Capital One Machine Learning Engineer (MLE), you will join an Agile team dedicated to productionizing machine learning applications and systems at scale. Our mission is to leverage existing and emerging technology platforms to drive innovation, ensuring high availability and performance for our machine learning infrastructure.
This Senior Manager position sits at the intersection of Operations, Modeling, and Data Engineering. You will lead the detailed technical design, development, and implementation of machine learning applications, focusing on architectural design and the review of model and application code. The role offers the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
In this capacity, you will collaborate with Product and Data Science teams to solve real-world business problems. You are expected to inform infrastructure decisions based on a deep understanding of ML modeling techniques, including model selection, feature engineering, and validation. Your day-to-day involves solving complex problems through code, automating tests and deployment, and maintaining models in production. You will also ensure that all code is well-managed to reduce vulnerabilities and that models adhere to best practices in Responsible and Explainable AI.
Capital One is committed to a fair and efficient recruitment process. We expect applications to be accepted for a minimum of 5 business days. For any candidates requiring an accommodation during the application or interview process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used solely to facilitate necessary accommodations.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and consider qualified applicants with a criminal history in a manner consistent with relevant laws, including Article 23-A of the New York Correction Law and Philadelphia's Fair Criminal Records Screening Act.
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).
Work model: On-site
Skills: Machine Learning, Python, Scala, Java, Scikit-Learn, Pytorch, Dask, Spark, Tensorflow, Aws.
Education: Bachelor's Degree required; Master's or Doctoral Degree in computer science preferred; Doctoral Degree in computer science preferred.
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
New York, New York
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field. 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. 3+ years of experience developing performant, resilient, and maintainable code. 3+ years of experience with data gathering and preparation for ML models. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. 3+ years of experience building production-ready data pipelines that feed ML models. Ability to communicate complex technical concepts clearly to a variety of audiences. ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
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