Machine Learning Engineer 4

Discover Financial
San Francisco, Cambridge, San Jose
Workplace: OnsiteFull timeUSD 197,300 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Cross-functional teamwork","Problem-solving"]

Design, build, and deploy production-ready machine learning models and components to solve business problems. Collaborate with Product and Data Science on model development, feature selection, training, hyperparameter tuning, validation, and retraining/monitoring in production. Engineer scalable data pipelines and distributed systems, automate testing and CI/CD, and use cloud platforms and Kubernetes to run ML at scale while following Responsible and Explainable AI and risk governance.

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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-ready machine learning models and components to solve business problems. Collaborate with Product and Data Science on model development, feature selection, training, hyperparameter tuning, validation, and retraining/monitoring in production. Engineer scalable data pipelines and distributed systems, automate testing and CI/CD, and use cloud platforms and Kubernetes to run ML at scale while following Responsible and Explainable AI and risk governance.
Location: San Francisco, 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 to solve real-world business problems in collaboration with Product and Data Science.
  • •Inform ML infrastructure decisions using model selection and data/feature selection, training, hyperparameter tuning, and validation.
  • •Write, test, and deploy application code for ML solutions; automate tests and deployment.
  • •Collaborate within cross-functional Agile teams to create and enhance software for big data and ML applications.
  • •Retrain, maintain, and monitor models in production while building cloud-based architectures, data pipelines, and CI/CD practices and following Responsible and Explainable AI.

Pay and Benefits

Salary: USD 197,300 - 245,600 annually

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field.
  • •At least 4 years 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 using and operating large-scale distributed systems (Spark, Ray) for AI/ML data.
  • •At least 2 years deploying and operating ML solutions in production on AWS, GCP, or Azure and using Kubernetes.
Experience:4+ years
Education:Bachelor's
Skills:CollaborationCross-functional teamworkProblem-solving
Tech Stack:PythonScalaJavaGolangC++PyTorchTensorflowPandasNumPyScikit-learnSparkRayAWSGCPAzureKubernetes

Eligibility

Visa:H1BF-1 OPTF-1 STEM OPTF-1 CPTJ-1TNE-3O-1
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