Machine Learning Engineer 5
Capital One1 day ago
McLean, VA, USAStaff+
Base Salary
$230k - $262k/yr
Responsibilities
- Design, build, and deliver machine learning models and components for business problems in collaboration with Product and Data Science teams.
- Build and scale multi-tenant platforms for large-scale ML model training and serving.
- Use ML modeling knowledge to guide infrastructure, model, data, feature-selection, training, tuning, and validation decisions.
- Write and test application code, validate ML models, and automate testing and deployment.
- Retrain, maintain, monitor, and govern production models and support responsible and explainable AI practices.
- Build cloud-based architectures, optimized ML models, and data pipelines for training and serving.
- Operate large-scale distributed and containerized ML systems using cloud platforms and Kubernetes.
- Apply deployment, monitoring, testing, incident-response, and software development best practices.
- Use programming languages including Python, Scala, Java, Golang, and C++.
Requirements
- Bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field.
- 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 Pandas, NumPy, or Scikit-learn.
- At least 6 years of experience using and operating large-scale distributed systems such as Spark or Ray for AI or machine learning 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 qualifications include a master’s or doctoral degree in a related field, 5+ years optimizing ML algorithms and infrastructure, and 5+ years applying software development, deployment, monitoring, and incident-response practices.
- Preferred experience includes supervised, semi-supervised, unsupervised, and reinforcement learning; regression, classification, and clustering; RNNs, CNNs, LSTMs, and Transformers; and ML model evaluation and diagnosis.
- Preferred experience includes designing and scaling production-ready data pipelines, plus industry impact through presentations, papers, blog posts, open-source contributions, or patents.
- Ability to communicate complex technical and machine learning concepts clearly to varied audiences.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- Eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- The role is expected to accept applications for a minimum of 5 business days.
- The listed salary applies to work performed in McLean, Virginia; other locations use their applicable pay ranges.
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.