Machine Learning Engineer 5 (IC)
Capital One23 days ago
Cambridge, MA, USA +4 moreStaff+
Base Salary
$251k - $286k/yr
Responsibilities
- Design, build, and deliver machine learning models and components in collaboration with Product and Data Science teams.
- Build and scale multi-tenant platforms for large-scale ML model training and serving.
- Make ML infrastructure decisions using knowledge of modeling, data and feature selection, training, tuning, validation, and model behavior.
- Write and test application code, develop and validate ML models, and automate testing and deployment.
- Retrain, maintain, monitor, and govern models in production, including responsible and explainable AI practices.
- Build cloud-based architectures, optimized ML models, and data pipelines for training and evaluation.
- Operate large-scale distributed and containerized ML systems using cloud platforms and Kubernetes.
- Apply continuous integration, continuous deployment, test automation, monitoring, and production incident-response practices.
Requirements
- Bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
- At least 6 years of programming experience with Python, Java, Golang, or C++.
- At least 6 years of machine learning experience with PyTorch or TensorFlow and libraries including Pandas, NumPy, and Scikit-learn.
- At least 6 years of experience using and operating large-scale distributed systems such as Spark and Ray to prepare AI/ML data.
- At least 4 years of experience deploying and operating machine learning solutions in production, operating cloud production services, 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: 5+ years optimizing ML algorithms, configurations, and infrastructure; applying software development best practices; and building resilient production software.
- Preferred: 5+ years working with supervised, semi-supervised, unsupervised, and reinforcement learning; regression, classification, and clustering; RNNs, CNNs, LSTMs, and Transformers; and model evaluation and diagnostics.
- Preferred: ML industry impact through conference presentations, papers, blog posts, open-source contributions, or patents.
- Ability to communicate complex technical and machine learning concepts clearly to varied audiences.
Benefits
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- The role offers 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, which may include cash bonuses and/or long-term incentives.
- The position is full-time, with annual salary ranges varying by work location.
Tech Stack
Apache SparkAWSAzureC++GoGoogle Cloud PlatformJavaKubernetesNumPyPandasPythonPyTorchscikit-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.