Lead Machine Learning Engineer

Discover Financial
New York, Richmond, Plano, Virginia, San Jose, San Francisco, Boston
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Problem-solving","Code quality","Team collaboration","Risk awareness"]

Design and productionize machine learning applications at scale on an Agile team, with a focus on enterprise AI coding tools. You’ll build ML models and components, make ML infrastructure decisions (training, tuning, validation, features), write and test application code, and automate tests and deployments. Maintain and monitor models in production while leveraging cloud-based architectures and optimized data pipelines, ensuring high availability, performance, and Responsible/Explainable AI practices.

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FursaFursa
Discover Financial
Discover Financial
4 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: 17 hours agoStatus: Live

Job Summary

Design and productionize machine learning applications at scale on an Agile team, with a focus on enterprise AI coding tools. You’ll build ML models and components, make ML infrastructure decisions (training, tuning, validation, features), write and test application code, and automate tests and deployments. Maintain and monitor models in production while leveraging cloud-based architectures and optimized data pipelines, ensuring high availability, performance, and Responsible/Explainable AI practices.
Location: New York, Richmond, Plano, Virginia, San Jose, San Francisco, Boston
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 to solve real-world business problems with Product and Data Science teams.
  • •Inform ML infrastructure decisions across model choice, data/feature selection, training, hyperparameter tuning, dimensionality reduction, bias/variance, and validation.
  • •Write, test, automate, and deploy ML models and application code to enable state-of-the-art big data and ML applications.
  • •Retrain, maintain, and monitor models in production to ensure high availability and performance.
  • •Leverage cloud architectures and optimized data pipelines, and follow Responsible and Explainable AI and best practices to reduce vulnerabilities and manage risk.

Key Requirements

  • •Bachelor’s Degree.
  • •At least 6 years of experience designing and building data-intensive solutions using distributed computing (internship experience does not apply).
  • •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 building production-ready data pipelines that feed ML models.
Experience:6+ yearsBig dataMachine learningDistributed computing
Education:Bachelor's
Skills:Cross-functional collaborationProblem-solvingCode qualityTeam collaborationRisk awareness
Tech Stack:PythonScalaJavaAWSAzureGoogle Cloud PlatformScikit-learnPyTorchDaskSparkTensorFlowDistributed computingContinuous integrationContinuous deploymentTest automationMonitoringData pipelines

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