
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 bridge the gap between data science innovation and real-world business impact, ensuring that machine learning solutions are robust, scalable, and ready for the demands of a financial services environment.
This Senior Lead position sits at the intersection of Operations, Modeling, and Data Engineering. You will be responsible for the end-to-end lifecycle of machine learning applications, from detailed technical design and development to the implementation of high-availability systems. Your work will directly influence how we solve complex business problems by leveraging state-of-the-art big data and ML technologies.
In this role, you will not only design and build ML models but also architect the infrastructure that supports them. You will collaborate closely with Product and Data Science teams to translate theoretical models into production-ready solutions. A key part of your day involves ensuring that models are well-governed, following best practices in Responsible and Explainable AI, and that the underlying code is secure, maintainable, and optimized for performance.
As a leader, you will guide the development of optimized data pipelines and cloud-based architectures, while mentoring teams to adopt continuous integration and deployment best practices. You will have the opportunity to continuously learn and apply the latest innovations in machine learning engineering, driving the evolution of our platform to serve millions of customers.
Capital One is committed to a fair and transparent hiring process. We encourage all qualified candidates to apply. Please note that this role is expected to accept applications for a minimum of 5 business days. We do not accept resumes from agencies.
If you require an accommodation during the recruiting 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 your accommodation needs.
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 for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.
We foster an inclusive culture where diverse backgrounds and perspectives are valued. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Work model: On-site
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. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. 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. 3+ years of people management experience. ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents. 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. Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.
Capital One • Plano, Texas
Capital One • New York, New York
Capital One • New York, New York
Skills: Machine Learning, Python, Scala, Java, Aws, Azure, Google Cloud Platform, Scikit-Learn, Pytorch, Dask.
Education: Bachelor's Degree required; Master's or Doctoral Degree in computer science preferred; Master's or Doctoral Degree in computer science preferred.