Machine Learning Engineer 5 (Senior Manager, IC)
Capital One1 day ago
Cambridge, MA, USA +4 moreStaff+
Base Salary
$230k - $262k/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 informed by 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 tests and deployment.
- Retrain, maintain, monitor, and govern production models, including responsible and explainable AI practices.
- Build cloud-based architectures, optimized ML models, and scalable data pipelines for training and evaluation.
- Apply continuous integration, continuous deployment, test automation, and monitoring practices.
- Collaborate with cross-functional Agile teams to enhance software supporting big data and ML applications.
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 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 for AI or ML data preparation.
- At least 4 years of experience deploying and operating ML solutions in production and cloud-based production services using AWS, GCP, or Azure and Kubernetes.
- Preferred: master’s or doctoral degree in a related field.
- Preferred: at least 5 years optimizing ML algorithms, configurations, infrastructure, production-ready data pipelines, and resilient software delivery practices.
- Preferred: experience with supervised, semi-supervised, unsupervised, and reinforcement learning; regression, classification, and clustering; RNNs, CNNs, LSTMs, and Transformers; and model evaluation and troubleshooting.
- 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.
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment and management status.
- Annual base salary ranges vary by work location: $229,900-$262,400 in Cambridge and McLean, and $250,800-$286,200 in New York, San Francisco, and San Jose.
- Eligible for performance-based incentive compensation, including cash bonuses and/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.