Machine Learning Engineer

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 151,800 - 265,350 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Collaboration","Eagerness to learn"]

Build and deploy machine learning models for Adobe’s centralized Risk Platform to detect fraud and abusive account behavior without harming the user experience. Work across the full ML lifecycle—from behavioral data and feature engineering to training, deployment, and monitoring—using Python and large-scale data pipelines. Collaborate with data science, product, and platform teams, and apply MLOps practices like experiment tracking, versioning, CI/CD, and observability.

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FursaFursa
Adobe Systems
Adobe Systems
1 day ago

Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 45 minutes agoStatus: Live

Job Summary

Build and deploy machine learning models for Adobe’s centralized Risk Platform to detect fraud and abusive account behavior without harming the user experience. Work across the full ML lifecycle—from behavioral data and feature engineering to training, deployment, and monitoring—using Python and large-scale data pipelines. Collaborate with data science, product, and platform teams, and apply MLOps practices like experiment tracking, versioning, CI/CD, and observability.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and train ML models for fraud and abuse areas including transaction fraud, device-related deception, and account/identity abuse.
  • •Conduct feature engineering across transaction, device, and behavioral event data to support a unified, continuously updated trust and risk score.
  • •Build and maintain feature pipelines on Databricks and Spark to transform raw event data into high-quality model inputs.
  • •Translate prototypes into production ML systems in partnership with senior engineers, focusing on scalability, reliability, and observability.
  • •Apply MLOps practices including experiment tracking, model versioning, CI/CD, and ongoing production monitoring.

Pay and Benefits

Salary: USD 151,800 - 265,350 annually

Key Requirements

  • •Bachelor’s degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience).
  • •5+ years building and deploying ML solutions (or equivalent experience).
  • •Strong Python programming skills with hands-on experience in PyTorch, TensorFlow, scikit-learn, or similar frameworks.
  • •Working understanding of the ML lifecycle from data collection through deployment and monitoring.
  • •Eagerness to learn model optimization, inference efficiency, and production system integration with support from senior engineers.
Experience:5+ years
Education:Bachelor's in Computer Science, Machine Learning, Data Science, or related field
Skills:CollaborationEagerness to learn
Tech Stack:PythonPyTorchTensorFlowScikit-learnDatabricksSparkCI/CDExperiment trackingModel versioningProduction monitoringObservabilityTransformer architecturesGraph neural networksSequence modeling

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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Glassdoor: 4.0
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