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Director, Machine Learning Engineer
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-02-25
Listing for:
Capital One
Full Time, Part Time
position Listed on 2026-02-25
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Engineer
Job Description & How to Apply Below
* At least 10 years of experience designing and building data-intensive solutions using distributed computing.
* At least 6 years of experience programming with Python, Scala, or Java.
* At least 5 years of people management experience.
* At least 3 years of experience with the full Machine learning development lifecycle using modern technology in a business critical setting.
* 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 Machine learning models.
* 8+ years of experience within a large data-intensive multi-line business environment.
* 5+ years of experience leading software engineering teams.
* Expertise designing, implementing, and scaling complex production-ready data pipelines for Machine learning models.
* Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure or platforms.
* Ability to communicate complex technical concepts clearly to a variety of audiences.
* Highly developed interpersonal, presentation, and communications skills.
* Machine learning industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
* Ability to attract and develop high-performing software engineers with an inspiring leadership style.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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