Machine Learning Engineer 4

Discover Financial
Cambridge, Virginia, Richmond
Workplace: OnsiteFull timeUSD 179,400 - 225,100 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Cross-functional teamwork"]

Build and deploy production machine learning solutions within Risk Tech, partnering with the GRC team and across Capital One. You’ll design and deliver ML models and components, make ML infrastructure decisions, and create optimized data pipelines. The role includes retraining and monitoring models in production, leveraging cloud architectures and CI/CD best practices, and ensuring responsible, explainable AI with well-governed code.

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FursaFursa
Discover Financial
Discover Financial
12 hours ago

Machine Learning Engineer 4

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and deploy production machine learning solutions within Risk Tech, partnering with the GRC team and across Capital One. You’ll design and deliver ML models and components, make ML infrastructure decisions, and create optimized data pipelines. The role includes retraining and monitoring models in production, leveraging cloud architectures and CI/CD best practices, and ensuring responsible, explainable AI with well-governed code.
Location: Cambridge, Virginia, Richmond
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and/or deliver ML models and components to solve real-world business problems with Product and Data Science teams.
  • •Make ML infrastructure decisions across modeling, data/feature selection, training, hyperparameter tuning, and validation.
  • •Write and test application code, develop and validate ML models, and automate tests and deployment.
  • •Retrain, maintain, and monitor models in production while collaborating on an Agile cross-functional team.
  • •Build cloud-based architectures and optimized data pipelines, using CI/CD best practices and ensuring responsible and explainable AI.

Pay and Benefits

Salary: USD 179,400 - 225,100 annually
Perks:Health Insurance

Key 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 using frameworks like PyTorch or TensorFlow and libraries such as Pandas, NumPy, and scikit-learn.
  • •At least 4 years of experience with large-scale distributed systems (e.g., Spark, Ray) to prepare AI/ML data.
  • •At least 2 years of experience deploying and operating ML solutions in production using cloud platforms (AWS, GCP, Azure) and Kubernetes.
Experience:4+ years
Education:Bachelor's
Skills:CollaborationProblem-solvingCross-functional teamwork
Tech Stack:PythonScalaJavaGolangC++PyTorchTensorFlowPandasNumPyScikit-learnSparkRayAWSGCPAzureKubernetesCI/CDTest automationMonitoring

Eligibility

Visa:H1BF-1 OPTF-1 STEM OPTF-1 CPTJ-1TNE-3O-1
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn