Lead Machine Learning Engineer Job at Capital One in San Francisco

* Bachelor’s Degree* At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)* At least 4 years of experience programming with Python, Scala, or Java* At least 2 years of experience building, scaling, and optimizing ML systems* 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 patentsCapital 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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