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Capital One · 8 hours ago

Machine Learning Engineer

San Francisco, CA

Full-time

Hybrid

Entry, Mid Level

$145K/yr - $166K/yr

2+ years exp

Capital One is a financial services company, and they are seeking a Machine Learning Engineer to join their Agile team. In this role, you will be responsible for productionizing machine learning applications and systems, collaborating with cross-functional teams, and ensuring high availability and performance of ML applications.

BankingCredit CardsFinanceFinancial Services

Comp. & Benefits

No H1B

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