Machine Learning Engineer 4
Capital One2 days ago
Base Salary
$197k - $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 and cross-functional Agile teams to build software for big data and machine learning applications.
- Retrain, maintain, and monitor models in production.
- Build or leverage cloud-based architectures and platforms to deliver optimized ML models at scale.
- Construct optimized data pipelines for ML models.
- Apply continuous integration, continuous deployment, test automation, and monitoring practices.
- Manage code, model governance, risk controls, and Responsible and Explainable AI practices.
Requirements
- Bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field is required.
- At least 4 years of programming experience with Python, Java, Golang, or C++ is required.
- At least 4 years of machine learning experience with PyTorch or TensorFlow and Pandas, NumPy, or Scikit-learn is required.
- At least 4 years of experience using and operating large-scale distributed systems such as Spark or Ray to prepare AI or machine learning data is required.
- At least 2 years of experience deploying and operating production machine learning solutions and cloud production services using AWS, GCP, or Azure and Kubernetes is required.
- Preferred qualifications include a master’s or doctoral degree in a related field and at least 3 years optimizing ML algorithms, configurations, and infrastructure.
- Preferred qualifications include at least 3 years applying software development, resilient production deployment, monitoring, incident-response, ML modeling, and production data-pipeline practices.
- Preferred qualifications include at least 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 employee well-being, with eligibility varying by employment status and management level.
- Full-time annual salary ranges are $197,300–$225,100 in McLean, VA and $215,200–$245,600 in New York, NY; other locations use location-specific ranges.
- Eligible for performance-based incentive compensation, including cash bonuses or long-term incentives.
- Applications are expected to remain open for at least 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.