Machine Learning Engineer

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 125,600 - 234,150 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Collaboration","Learning agility","Problem-solving","Communication"]

Build and deploy machine learning models for Adobe’s centralized fraud and abuse risk platform, covering areas like transaction fraud, device deception, and account/identity abuse. Own the model lifecycle from data collection and feature engineering to training, deployment, monitoring, and MLOps practices including experiment tracking, versioning, CI/CD, and observability. Collaborate across data science, product, and platform teams using scalable Spark/Databricks pipelines.

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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: 46 minutes agoStatus: Live

Job Summary

Build and deploy machine learning models for Adobe’s centralized fraud and abuse risk platform, covering areas like transaction fraud, device deception, and account/identity abuse. Own the model lifecycle from data collection and feature engineering to training, deployment, monitoring, and MLOps practices including experiment tracking, versioning, CI/CD, and observability. Collaborate across data science, product, and platform teams using scalable Spark/Databricks pipelines.
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 use cases such as transaction fraud, device-related deception, and account/identity abuse.
  • •Perform feature engineering across transaction, device, and behavioral event data to support trust/risk scoring.
  • •Build and maintain feature pipelines on Databricks and Spark to transform raw events into model inputs.
  • •Translate prototypes into production ML systems with a focus on scalability, reliability, and observability.
  • •Apply MLOps practices including experiment tracking, model versioning, CI/CD, and production monitoring, while partnering cross-functionally to improve fraud detection.

Pay and Benefits

Salary: USD 125,600 - 234,150 annually

Key Requirements

  • •Bachelor’s degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience).
  • •3+ years building and deploying ML solutions, including experience via internships, research, or personal projects.
  • •Strong programming skills in Python, with hands-on experience using PyTorch, TensorFlow, scikit-learn, or similar frameworks.
  • •Working understanding of the ML lifecycle from data collection through deployment and monitoring.
  • •Willingness to learn model optimization, inference efficiency, and production integration with guidance from senior engineers.
Experience:3+ years
Education:Bachelor's
Skills:CollaborationLearning agilityProblem-solvingCommunication
Tech Stack:PythonPyTorchTensorFlowScikit-learnDatabricksSparkCI/CDCI CD

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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