Senior Applied ML Engineer, Search & Relevance

Adobe Systems
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5-8 yearsSkills: ["Communication","Problem-solving","Collaboration","Python","PyTorch","TensorFlow","CI/CD","Code testing","Version control"]

Design, train, debug, and deploy ML models for typographic layout, styling, and generative workflows across Adobe’s creative products. Own end-to-end modeling lifecycle from data prep to production monitoring, collaborating with software engineers to integrate models into hybrid product architectures and scale production ML systems for millions of users.

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FursaFursa
Adobe Systems
Adobe Systems
5 months ago

Senior Applied ML Engineer, Search & Relevance

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, train, debug, and deploy ML models for typographic layout, styling, and generative workflows across Adobe’s creative products. Own end-to-end modeling lifecycle from data prep to production monitoring, collaborating with software engineers to integrate models into hybrid product architectures and scale production ML systems for millions of users.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Model typographic layout, styling, and generative workflows; convert research ideas into reproducible implementations and product features.
  • •Build and maintain end-to-end training pipelines including data ingestion, feature engineering, training, validation, and artifact management.
  • •Perform model debugging and error analysis (ablation studies, failure analysis, metric design) and tune hyperparameters for performance and robustness.
  • •Optimize training and inference (mixed precision, quantization, distillation, pruning) with attention to latency, cost, and scalability.
  • •Productionize models and inference services; implement monitoring for model drift and data quality.

Key Requirements

  • •5-8 years building and operating production ML systems.
  • •Strong Python skills and hands-on experience with PyTorch, TensorFlow, or similar frameworks.
  • •Demonstrated ownership across the modeling lifecycle: data -> modeling -> training -> deployment -> monitoring.
  • •Experience debugging models, tuning hyperparameters, and improving model performance in production environments.
  • •Experience building data pipelines and model serving infrastructure.
Experience:5-8 years
Skills:CommunicationProblem-solvingCollaborationPythonPyTorchTensorFlowCI/CDCode testingVersion control
Languages:English
Tech Stack:PythonPyTorchTensorFlowData pipelinesModel servingCI/CDGPU acceleration

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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