Lead Machine Learning Engineer

Discover Financial
Virginia
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Code testing","Governance","Automation"]

Build and productionize machine learning applications and systems at scale on an Agile team. Lead technical design and development of ML models and components that solve business problems, including model training, tuning, validation, and bias/variance considerations. Write and test application code, automate CI/CD and deployments, and ensure models are retrained, monitored, and optimized in production using cloud-based architectures and data pipelines. Follow Responsible and Explainable AI and risk/governance best practices.

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FursaFursa
Discover Financial
Discover Financial
1 day ago

Lead Machine Learning Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and productionize machine learning applications and systems at scale on an Agile team. Lead technical design and development of ML models and components that solve business problems, including model training, tuning, validation, and bias/variance considerations. Write and test application code, automate CI/CD and deployments, and ensure models are retrained, monitored, and optimized in production using cloud-based architectures and data pipelines. Follow Responsible and Explainable AI and risk/governance best practices.
Location: Virginia
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and deliver ML models and components to solve real-world business problems with Product and Data Science teams.
  • •Inform ML infrastructure decisions across model/data/feature selection, training, hyperparameter tuning, dimensionality, validation, and bias/variance considerations.
  • •Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • •Collaborate on a cross-functional Agile team to create and enhance software enabling big data and ML applications.
  • •Retrain, maintain, and monitor models in production, using cloud-based architectures and data pipelines; apply CI/CD best practices and Responsible/Explainable AI governance.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Bachelor’s Degree
  • •At least 6 years designing and building data-intensive solutions using distributed computing (internship experience does not apply)
  • •At least 4 years programming with Python, Scala, or Java
  • •At least 2 years building, scaling, and optimizing ML systems
  • •At least 2 years building performant, resilient, and maintainable code
Experience:6+ yearsMachine learningDistributed computingData-intensive solutions
Education:Bachelor's
Skills:CollaborationProblem-solvingCode testingGovernanceAutomation
Tech Stack:PythonScalaJavaScikit-learnPyTorchDaskSparkTensorFlowAWSAzureGoogle Cloud PlatformCI/CDContinuous integrationContinuous deploymentTest 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