Machine Learning Engineer 4 (Manager, IC)
Capital One1 day ago
Chicago, IL, USA or New York, NY, USAStaff+
Base Salary
$179k - $246k/yr
Responsibilities
- Design, build, and deliver machine learning models and components for business problems in collaboration with Product and Data Science teams.
- Make ML infrastructure decisions based on modeling techniques, data and feature selection, training, tuning, dimensionality, bias and variance, and validation.
- Write and test application code, develop and validate ML models, and automate testing and deployment.
- Build and enhance software for large-scale data and ML applications as part of a cross-functional team.
- 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 for ML model training and evaluation.
- Apply continuous integration, continuous deployment, test automation, and monitoring practices.
- Maintain well-managed code, model governance, and Responsible and Explainable AI practices.
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 such as Pandas, NumPy, and Scikit-learn.
- At least 4 years of experience using and operating large-scale distributed systems such as Spark and Ray for AI or ML data preparation.
- At least 2 years of experience deploying and operating ML solutions in production and operating cloud production services using AWS, GCP, or Azure and Kubernetes.
- Preferred: master’s or doctoral degree in a relevant field.
- Preferred: 3+ years optimizing ML algorithms, configurations, and infrastructure; applying software development best practices; building resilient production systems; working with ML techniques and architectures; and designing scalable ML data pipelines.
- Preferred: 1+ year as a technical lead developing ML solutions.
- Preferred: authorship or co-authorship of a paper on an ML technique, model, or proof of concept.
Benefits
- Comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment status and management level.
- The role is full-time and eligible for performance-based incentive compensation, including potential cash bonuses and long-term incentives.
- The posting is expected to accept applications for at least 5 business days.
Tech Stack
Apache SparkAWSAzureC++GoGoogle Cloud PlatformJavaKubernetesNumPyPandasPythonPyTorchScalascikit-learnTensorFlow
Categories
Data EngineeringML Engineering
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.