Lead Machine Learning Engineer

Discover Financial
Virginia
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Problem-solving","Code quality","Attention to risk","Continuous improvement"]

Lead the engineering of production machine learning applications on an Agile team, from technical design through development, deployment, and ongoing monitoring. Build and optimize ML models and components, implement resilient data pipelines, and automate testing and CI/CD to ensure high availability and performance. Retrain and maintain models in production while collaborating with Product, Data Science, and cross-functional partners. Use cloud architectures and best practices for Responsible and Explainable AI.

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FursaFursa
Discover Financial
Discover Financial
3 days ago

Lead Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Lead the engineering of production machine learning applications on an Agile team, from technical design through development, deployment, and ongoing monitoring. Build and optimize ML models and components, implement resilient data pipelines, and automate testing and CI/CD to ensure high availability and performance. Retrain and maintain models in production while collaborating with Product, Data Science, and cross-functional partners. Use cloud architectures and best practices for Responsible and Explainable AI.
Location: Virginia
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, build, and deliver ML models and components that solve real-world business problems with Product and Data Science.
  • •Make ML infrastructure decisions across model selection, data/feature selection, training, hyperparameter tuning, validation, and model monitoring.
  • •Write, test, and deploy application code and ML models, including automating tests and deployment via CI/CD best practices.
  • •Collaborate on a cross-functional Agile team to create and enhance software for state-of-the-art big data and ML applications.
  • •Retrain, maintain, and monitor models in production while ensuring high availability, performance, governance, and Responsible/Explainable AI practices.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Bachelor’s Degree.
  • •At least 6 years of experience designing and building data-intensive solutions using distributed computing.
  • •At least 4 years of experience programming with Python, Scala, or Java.
  • •At least 2 years of experience building, scaling, and optimizing ML systems.
  • •At least 2 years of experience developing performant, resilient, and maintainable code.
Experience:Distributed computingMachine learningBig dataCloudData pipelines
Education:Bachelor's
Skills:CollaborationProblem-solvingCode qualityAttention to riskContinuous improvement
Tech Stack:PythonScalaJavaScikit-learnPyTorchDaskSparkTensorFlowAWSAzureGoogle Cloud PlatformCI/CDTest automationMonitoring

Eligibility

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