Machine Learning Engineer 5 (IC)

Discover Financial
New York, San Francisco, Virginia, Cambridge, San Jose
Workplace: OnsiteFull timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Agile teamwork","Clear communication"]

Design, build, and scale production machine learning models and components to solve real business problems. Work with Product and Data Science on multi-tenant ML platforms, data pipelines, model training/serving, and continuous retraining/monitoring. Write and test application code, automate CI/CD and deployments, and operate large-scale distributed systems using cloud infrastructure and Kubernetes while following Responsible and Explainable AI practices.

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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 production machine learning models and components to solve real business problems. Work with Product and Data Science on multi-tenant ML platforms, data pipelines, model training/serving, and continuous retraining/monitoring. Write and test application code, automate CI/CD and deployments, and operate large-scale distributed systems using cloud infrastructure and Kubernetes while following Responsible and Explainable AI practices.
Location: New York, San Francisco, Virginia, Cambridge, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and deliver machine learning models and components that solve real-world business problems with Product and Data Science.
  • •Build and scale multi-tenant ML platforms for large-scale model training and/or serving.
  • •Develop production ML systems: write and test application code, automate tests and deployment, and retrain, maintain, and monitor models in production.
  • •Collaborate on cross-functional Agile teams to create and enhance software for big data and ML applications.
  • •Use cloud-based architectures and data pipelines to deliver optimized ML models at scale, ensuring responsible governance and Responsible and Explainable AI 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 operating large-scale distributed systems (Spark, Ray) to prepare AI/ML data.
  • •At least 4 years of experience deploying and operating ML solutions in production in the cloud (AWS, GCP, Azure) using Kubernetes.
Experience:6+ yearsMachine learningOpen sourceDistributed systemsCloud
Education:Bachelor's
Skills:Cross-functional collaborationAgile teamworkClear communication
Tech Stack:PythonScalaJavaGolangC++PyTorchTensorFlowPandasNumPyScikit-learnSparkRayAWSGCPAzureKubernetesCI/CDContinuous integrationContinuous deploymentTest automation

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