Machine Learning Engineer 5 (IC)

Discover Financial
New York, San Francisco, Virginia, Cambridge, San Jose
Full timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Clear communication"]

Design, build, and scale machine learning models and components that solve real business problems, collaborating with Product and Data Science teams. Develop production-ready ML systems by engineering multi-tenant training/serving platforms, data pipelines, CI/CD and monitoring, and automated testing. Operate and retrain models in production, optimize infrastructure and ML performance, and follow Responsible and Explainable AI practices across large-scale cloud environments.

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FursaFursa
Discover Financial
Discover Financial
12 hours ago

Machine Learning Engineer 5 (IC)

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

Job Summary

Design, build, and scale machine learning models and components that solve real business problems, collaborating with Product and Data Science teams. Develop production-ready ML systems by engineering multi-tenant training/serving platforms, data pipelines, CI/CD and monitoring, and automated testing. Operate and retrain models in production, optimize infrastructure and ML performance, and follow Responsible and Explainable AI practices across large-scale cloud environments.
Location: New York, San Francisco, Virginia, Cambridge, San Jose
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.
  • •Build and scale multi-tenant platforms for ML model training and serving at scale.
  • •Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • •Retrain, maintain, and monitor models in production with CI/CD, monitoring, and deployment best practices.
  • •Create optimized data pipelines and use cloud-based architectures to deliver optimized ML models at scale while following Responsible and Explainable AI and risk/governance best practices.

Pay and Benefits

Salary: USD 250,800 - 286,200 annually

Key Requirements

  • •Bachelor's degree or higher in Computer Science, Machine Learning, or a related quantitative field.
  • •At least 6 years of experience programming with Python, Java, Golang, or C++.
  • •At least 6 years of Machine Learning experience using PyTorch or Tensorflow and libraries including Pandas, NumPy, and Scikit-learn.
  • •At least 6 years of experience using and operating large-scale distributed systems such as Spark and Ray to prepare AI/ML data.
  • •At least 4 years of experience deploying and operating ML solutions in production, using AWS, GCP, Azure, and Kubernetes.
Experience:4+ yearsMachine learningDistributed systemsCloudBig dataProduction ML
Education:Bachelor's
Skills:CollaborationProblem-solvingClear communication
Tech Stack:PythonScalaJavaGolangC++PyTorchTensorflowPandasNumPyScikit-learnSparkRayAWSGCPAzureKubernetesCI/CD

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