Lead Machine Learning Engineer
Not Disclosed•Full-TimeOn-site
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 high availability and performance for our ML infrastructure.
This position serves as a critical intersection of Operations, Modeling, and Data Engineering. You will participate in the detailed technical design, development, and implementation of machine learning applications using both existing and emerging technology platforms. The role focuses on architectural design, code review, and the continuous application of the latest innovations and best practices in machine learning engineering.
You will collaborate closely with Product and Data Science teams to solve complex problems, from designing optimized data pipelines to retraining and monitoring models in production. A key part of your day-to-day involves leveraging continuous integration and deployment best practices to ensure successful, secure, and governed deployments that adhere to Responsible and Explainable AI principles.
Candidates are expected to submit applications for a minimum of 5 business days. The process includes a review of qualifications followed by interviews. Please note that no agencies are accepted for this role.
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 legal requirements.
We foster an inclusive culture and offer a comprehensive set of health, financial, and other benefits to support total well-being. 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. All information provided will be kept confidential.
At this time, Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position. For technical support or questions about the recruiting process, please email Careers@capitalone.com.
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. 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.
Skills: Machine Learning, Python, Scala, Java, Distributed Computing, Scikit-Learn, Pytorch, Dask, Spark, Tensorflow.
Education: Bachelor's degree required; Master's in Computer Science preferred; Doctoral degree in Computer Science preferred.