Senior Machine Learning Engineer

Discover Financial
Richmond, New York, Plano
Workplace: OnsiteFull timeUSD 147,100 - 201,400 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Problem-solving","Continuous learning","Responsible AI practices","Test and deployment automation"]

Design, build, and productionize machine learning models and components on an Agile team, partnering with Product and Data Science to solve real business problems. Apply ML techniques for model training, feature selection, validation, and hyperparameter tuning, while writing and testing production code and automating deployment. Retrain, monitor, and maintain models in production, construct data pipelines, and use cloud architectures with CI/CD best practices, Responsible/Explainable AI, and strong model governance.

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Discover Financial
Discover Financial
22 minutes ago

Senior Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 minutes agoStatus: Closed

Job Summary

Design, build, and productionize machine learning models and components on an Agile team, partnering with Product and Data Science to solve real business problems. Apply ML techniques for model training, feature selection, validation, and hyperparameter tuning, while writing and testing production code and automating deployment. Retrain, monitor, and maintain models in production, construct data pipelines, and use cloud architectures with CI/CD best practices, Responsible/Explainable AI, and strong model governance.
Location: Richmond, New York, Plano
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 to solve business problems in collaboration with Product and Data Science.
  • •Inform ML infrastructure decisions across modeling choices, data/feature selection, training, hyperparameter tuning, validation, and bias/variance considerations.
  • •Write, test, and automate ML application code and deployments, solving complex problems with model development and validation.
  • •Collaborate on a cross-functional Agile team to create and enhance big data and ML software.
  • •Retrain, maintain, and monitor models in production using cloud-based architectures and optimized data pipelines, with CI/CD test automation and monitoring for availability and performance.

Pay and Benefits

Salary: USD 147,100 - 201,400 annually

Key Requirements

  • •Bachelor’s Degree.
  • •At least 4 years of experience programming with Python, Scala, or Java.
  • •At least 3 years of experience designing and building data-intensive solutions using distributed computing.
  • •At least 2 years of on-the-job experience with industry-recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow).
  • •At least 1 year of experience productionizing, monitoring, and maintaining models.
Experience:4+ yearsMachine learningDistributed computing
Education:Bachelor's
Skills:Cross-functional collaborationProblem-solvingContinuous learningResponsible AI practicesTest and deployment automation
Tech Stack:PythonScalaJavaAWSAzureGoogle Cloud PlatformScikit-learnPyTorchDaskSparkTensorFlowCI/CDData pipelinesDistributed computingMultinode database paradigmsDistributed file systems

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