Machine Learning Engineer 4 - Finance Tech
Capital One2 days ago
Cambridge, MA, USA +2 moreStaff+
Base Salary
$197k - $225k/yr
Responsibilities
- Design, build, deliver, retrain, maintain, and monitor machine learning models and components for business problems.
- Develop and validate ML models using model selection, feature selection, training, hyperparameter tuning, dimensionality analysis, bias/variance assessment, and validation techniques.
- Write and test application code, automate tests and deployment, and collaborate with Product and Data Science teams.
- Build and operate cloud-based ML architectures, distributed systems, production services, and containerized ML software at scale.
- Construct optimized data pipelines for training and evaluating ML models.
- Apply deployment, monitoring, model governance, risk management, Responsible AI, and Explainable AI practices.
- Use programming languages including Python, Scala, and Java.
Requirements
- Bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field.
- At least 4 years of experience programming with Python, Java, Golang, or C++.
- At least 4 years of machine learning experience with PyTorch or TensorFlow and Pandas, NumPy, or Scikit-learn.
- At least 4 years of experience using and operating large-scale distributed systems such as Spark and Ray to prepare AI or machine learning data.
- At least 2 years of experience deploying and operating machine learning solutions in production, operating cloud production services on AWS, GCP, or Azure, 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: 3+ years optimizing ML algorithms, configurations, and infrastructure; following software development best practices; building resilient production systems; working with ML techniques, architectures, training concepts, and evaluation; and designing and scaling production-ready ML data pipelines.
- Preferred: 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
- Hybrid work arrangement requiring adherence to Capital One’s on-site presence policy.
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- Performance-based incentive compensation may include cash bonuses and/or long-term incentives.
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.