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Capital One · 1 week ago
Senior Machine Learning Engineer
New York, NY
Full-time
Onsite
Senior Level
$165K/yr - $188K/yr
4+ years exp
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Responsibilities
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.
Qualification
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Required
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 TensorFlow)
At least 1 year of experience productionizing, monitoring, and maintaining models
Preferred
1+ years of experience with Spark and Kubeflow or other pipeline orchestration technologies
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
Benefits
Performance based incentive compensation
Health, financial, and other benefits
Company
Capital One
Capital One is a diversified banking company that offers early and later stage venture, and debt financing investments.
10,001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$954MKey Investors
Berkshire Hathaway
2023-05-15Post Ipo Equity· $954M
1994-11-25IPO· nyse:COF
Leadership Team
Kevin S. Borgmann
Senior Advisor to CEO
Arjun Dugal
CTO, Financial Services
Recent News
Business Journals
2024-06-05
2024-06-04
San Francisco Business Times
2024-06-04
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