Lead Machine Learning Engineer (Enterprise Platforms Technology)
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 by building robust, high-performance ML infrastructure. We foster a culture of continuous learning, encouraging engineers to apply the latest innovations and best practices in machine learning engineering to solve complex challenges.
This role sits at the intersection of Operations, Modeling, and Data Engineering. You will be responsible for the end-to-end lifecycle of machine learning solutions, from technical design and development to deployment and monitoring. Your work will directly influence how we deliver state-of-the-art big data and ML applications, ensuring they are optimized, secure, and governed by principles of Responsible and Explainable AI. You will collaborate closely with Product and Data Science teams to translate business problems into scalable technical solutions.
We are committed to a fair and efficient hiring process. Applications for this position are accepted for a minimum of 5 business days. Please note that no agencies are accepted for this role. 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.
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 applicable laws. We strive to create an inclusive environment where diverse backgrounds and perspectives are valued.
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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 or Doctoral Degree in computer science preferred; Doctoral Degree in computer science preferred.