Sr. Lead Machine Learning Engineer

Discover Financial
Cambridge, New York, San Francisco, San Jose
Workplace: OnsiteFull timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Collaboration","Communication"]

Build and productionize machine learning applications within an Agile environment, owning technical design, development, and implementation at scale. Develop and optimize ML models and components to solve business problems, construct data pipelines, and ensure high availability and performance. Retrain, maintain, and monitor models in production while using CI/CD best practices for test automation and reliable deployments. Apply Responsible and Explainable AI practices and collaborate across Product, Data Science, and engineering teams.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Sr. Lead Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and productionize machine learning applications within an Agile environment, owning technical design, development, and implementation at scale. Develop and optimize ML models and components to solve business problems, construct data pipelines, and ensure high availability and performance. Retrain, maintain, and monitor models in production while using CI/CD best practices for test automation and reliable deployments. Apply Responsible and Explainable AI practices and collaborate across Product, Data Science, and engineering teams.
Location: Cambridge, New York, San Francisco, San Jose
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 in collaboration with Product and Data Science teams.
  • •Inform ML infrastructure decisions using knowledge of modeling, data/feature selection, training, hyperparameter tuning, validation, and bias/variance tradeoffs.
  • •Solve complex problems by writing and testing application code, developing/validating ML models, and automating tests and deployment.
  • •Collaborate with cross-functional Agile teams to create and enhance software for big data and ML applications.
  • •Retrain, maintain, and monitor models in production; implement cloud-based architectures and optimized data pipelines.

Pay and Benefits

Salary: USD 250,800 - 286,200 annually
Perks:Health InsuranceDentalVision401k

Key Requirements

  • •Bachelor’s degree.
  • •At least 8 years designing and building data-intensive solutions using distributed computing.
  • •At least 4 years programming with Python, Scala, or Java.
  • •At least 3 years building, scaling, and optimizing ML systems.
  • •At least 2 years leading teams developing ML solutions developing ML solutions.
Experience:8+ years
Education:Bachelor's
Skills:CollaborationCommunication
Tech Stack:PythonScalaJavaAWSAzureGoogle Cloud PlatformScikit-learnPyTorchDaskSparkKubeflowTensorFlowContinuous integrationContinuous deploymentCI/CDTest automationMonitoring

Eligibility

Work Authorization:Sponsorship available.

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