
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
The Intelligent Foundations and Experiences (IFX) team sits at the center of Capital One's vision for AI. We work hand-in-hand with partners across the company to advance the state of the art in science and AI engineering. Our mission is to build and deploy proprietary solutions that are central to our business, delivering value to millions of customers. By empowering teams across Capital One to enhance their products with the transformative power of AI, we aim to create responsible and scalable solutions with the highest leverage impact.
As a Lead Machine Learning Engineer, you will join an Agile team dedicated to productionizing machine learning applications and systems at scale. This role is a hybrid of operations, modeling, and data engineering, requiring you to participate in the detailed technical design, development, and implementation of ML applications using both existing and emerging technology platforms.
In this position, you will focus on machine learning architectural design, develop and review model and application code, and ensure the high availability and performance of our ML applications. You will collaborate with Product and Data Science teams to solve complex business problems, inform infrastructure decisions based on modeling techniques, and construct optimized data pipelines. A key part of your day will involve retraining, maintaining, and monitoring models in production while leveraging continuous integration and deployment best practices to ensure successful releases.
Candidates are expected to go through a standard interview process which typically includes an initial screening, technical deep-dives, and team fit assessments. Please note that Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
Capital One is an equal opportunity employer 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 legal requirements. We are dedicated to creating an inclusive environment where diverse backgrounds and perspectives are valued.
If you require an accommodation to apply or participate in the recruiting process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
Work model: On-site
Capital One • McLean, Virginia
Capital One • Richmond, Virginia
Skills: Machine Learning, Mlops, Kserve, Kubernetes, Pytorch, Tensorflow, Aws, Python, Scala, Java.
Education: Bachelor's degree required; Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field 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. 3+ years of experience building production-ready data pipelines that feed ML models. 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. 2+ years of experience developing performant, resilient, and maintainable code. 2+ years of experience with data gathering and preparation for ML models. 2+ years of people leader experience. 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance. ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
Capital One • New York, New York
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