Senior AI/ML Platform Engineer

Adobe Systems
Seattle, San Francisco, San Jose
Full timeUSD 151,800 - 265,350 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsEducation: bachelorsSkills: ["Problem-solving","Collaboration","Communication","Reliability focus","Cross-functional teamwork"]

Build and scale the core AI platform powering Adobe Express experiences, working on model integration, inference services, data pipelines, storage/caching, analytics, and evaluation tooling. Design and improve backend services and microservices that connect models, APIs, and product features, develop training/evaluation/fine-tuning pipelines, and support reliable inference orchestration. Collaborate cross-functionally to deliver production-ready AI capabilities and improve monitoring, debugging, and operational performance.

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FursaFursa
Adobe Systems
Adobe Systems
2 days ago

Senior AI/ML Platform Engineer

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

Job Summary

Build and scale the core AI platform powering Adobe Express experiences, working on model integration, inference services, data pipelines, storage/caching, analytics, and evaluation tooling. Design and improve backend services and microservices that connect models, APIs, and product features, develop training/evaluation/fine-tuning pipelines, and support reliable inference orchestration. Collaborate cross-functionally to deliver production-ready AI capabilities and improve monitoring, debugging, and operational performance.
Location: Seattle, San Francisco, San Jose
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Contribute to core AI platform components supporting AI experiences in Adobe Express.
  • •Build and improve backend services, microservices, and workflows connecting models, APIs, data systems, and product features.
  • •Develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
  • •Support runtime inference systems and orchestration with focus on reliability, observability, and performance.
  • •Collaborate with engineers, researchers, and product teams; participate in debugging, testing, monitoring, and operational improvements for AI platform services.

Pay and Benefits

Salary: USD 151,800 - 265,350 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of experience in software engineering and backend/data systems, ML infrastructure, or related areas.
  • •Hands-on understanding of distributed systems fundamentals and scalable backend system design.
  • •Experience building or supporting APIs, data pipelines, or event-driven systems.
  • •Proficiency in Python, Typescript, C++, or Go, plus familiarity with cloud environments and production engineering practices.
  • •Exposure to ML systems or LLM-based applications (e.g., inference, orchestration, or evaluation) is a plus.
Experience:5+ yearsMachine learningLLM-based applicationsDistributed systemsData pipelinesMLOps
Education:Bachelor's in Computer Science, Machine Learning, Data Science, or related technical field
Skills:Problem-solvingCollaborationCommunicationReliability focusCross-functional teamwork
Tech Stack:PythonTypescriptC++GoKafkaSparkFlinkLLMsMultimodal modelsDiffusion modelsAPIsMicroservicesInferenceOrchestrationData pipelinesMLOpsExperiment trackingModel deployment

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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