Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)
Capital One1 day ago
McLean, VA, USA or New York, NY, USAStaff+
Base Salary
$215k - $246k/yr
Responsibilities
- Design, build, and deliver machine-learning models and components for real-world business problems.
- Make ML infrastructure decisions involving model selection, data and feature selection, training, hyperparameter tuning, dimensionality, bias and variance, and validation.
- Write and test application code, develop and validate ML models, and automate testing and deployment.
- Collaborate with Product and Data Science teams to create and enhance big-data and machine-learning applications.
- Retrain, maintain, and monitor models in production.
- Build or use cloud-based architectures and platforms to deliver optimized ML models at scale.
- Construct optimized data pipelines to feed, train, and evaluate ML models.
- Apply deployment automation, monitoring, governance, and responsible and explainable AI practices.
- Use Python, Scala, or Java and contribute to cross-functional delivery.
Requirements
- Bachelor's degree or higher in Computer Science, Machine Learning, or a related quantitative field.
- At least 4 years of programming experience with Python, Java, Golang, or C++.
- At least 4 years of machine-learning experience with PyTorch or TensorFlow and libraries including Pandas, NumPy, and Scikit-learn.
- At least 4 years of experience using and operating large-scale distributed systems such as Spark and Ray to prepare AI/ML data.
- At least 2 years of experience deploying and operating production machine-learning solutions in the cloud and using Kubernetes for large-scale containerized ML systems.
- Preferred: Master's or doctoral degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
- Preferred: 3+ years optimizing ML algorithms, configurations, and infrastructure; applying software development practices; building resilient production software; working with ML techniques and architectures; and designing scalable ML data pipelines.
- Preferred: 1+ year as a technical lead developing ML solutions and authorship or co-authorship of a paper on an ML technique, model, or proof of concept.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- The role is eligible for performance-based incentive compensation, including potential cash bonuses and long-term incentives.
- Applications are expected to remain open for a minimum of 5 business days.
Tech Stack
Apache SparkAWSAzureC++GoGoogle Cloud PlatformJavaKubernetesNumPyPandasPythonPyTorchScalascikit-learnTensorFlow
Categories
About Capital One
Capital One is a U.S. consumer and commercial bank that offers credit cards, checking and savings accounts, auto financing, and lending to small and large businesses. It earns revenue from interest income and interchange/fees across its card and banking products, and develops cloud-based digital services. Founded in 1994, Capital One is publicly traded on the NYSE (COF) and is headquartered in McLean, Virginia.