Machine Learning Engineer 4

Discover Financial
United States
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Problem-solving","Iterative improvement"]

Design, build, and deploy production machine learning models and components to solve business problems, partnering with Product and Data Science. Apply ML modeling expertise (data/feature selection, training, tuning, validation) while writing and testing application code, automating deployment, and monitoring model performance. Work in an Agile, cross-functional team to build scalable data pipelines and cloud-based ML architectures, ensuring responsible, explainable, and well-governed AI.

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FursaFursa
Discover Financial
Discover Financial
12 hours ago

Machine Learning Engineer 4

✓ Verified Job

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

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

Job Summary

Design, build, and deploy production machine learning models and components to solve business problems, partnering with Product and Data Science. Apply ML modeling expertise (data/feature selection, training, tuning, validation) while writing and testing application code, automating deployment, and monitoring model performance. Work in an Agile, cross-functional team to build scalable data pipelines and cloud-based ML architectures, ensuring responsible, explainable, and well-governed AI.
Location: United States
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 that solve real-world business problems in collaboration with Product and Data Science.
  • •Apply ML modeling knowledge to inform infrastructure decisions, including model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation.
  • •Write and test application code to develop and validate ML models, including automating tests and deployment.
  • •Collaborate in a cross-functional Agile team to create and enhance software that enables big data and ML applications.
  • •Retrain, maintain, and monitor models in production, leveraging cloud-based architectures and constructing optimized data pipelines.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Bachelor's degree or higher in Computer Science, Machine Learning, or a related quantitative field.
  • •At least 4 years of experience programming with Python, Java, Golang, or C++.
  • •At least 4 years of machine learning experience using PyTorch or TensorFlow with Pandas, NumPy, and Scikit-learn.
  • •At least 4 years of experience using and operating large-scale distributed systems (Spark, Ray) to prepare AI/ML data.
  • •At least 2 years deploying and operating ML solutions in production on cloud platforms (AWS, GCP, Azure) and using Kubernetes for containerized ML systems.
Education:Bachelor's
Skills:CollaborationProblem-solvingIterative improvement
Tech Stack:PythonScalaJavaGolangC++PyTorchTensorflowPandasNumPyScikit-learnSparkRayAWSGCPAzureKubernetesCI/CD

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