Senior Machine Learning Engineer

* Bachelor’s Degree
* At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
* At least 3 years of experience designing and building data-intensive solutions using distributed computing
* At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or Tensor Flow)
* At least 1 year of experience product ionizing, monitoring, and maintaining models
* 1+ years of experience building, scaling, and optimizing ML systems
* 1+ years of experience with data gathering and preparation for ML models
* 2+ years of experience developing performant, resilient, and maintainable code
* Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
* Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
* 3+ years of experience with distributed file systems or multi-node database paradigms
* Contributed to open source ML software
* Authored/co-authored a paper on a ML technique, model, or proof of concept
* 3+ years of experience building production-ready data pipelines that feed ML models
* Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

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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