Senior Machine Learning Engineer, Applied Science Data Frameworks

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 151,800 - 265,350 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","System design","Performance optimization","Reliability focus"]

Build and maintain the distributed data and inference infrastructure that powers large-scale multimodal AI training. Own training data loaders for multi-source ingestion, feature enrichment and dataset registry systems, and batch inference pipelines running on large GPU clusters. Develop scalable data processing using tools like Ray and Spark, enable semantic search and vector database–backed discovery, and partner with ML research teams to productionize reliable pipelines.

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FursaFursa
Adobe Systems
Adobe Systems
3 days ago

Senior Machine Learning Engineer, Applied Science Data Frameworks

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build and maintain the distributed data and inference infrastructure that powers large-scale multimodal AI training. Own training data loaders for multi-source ingestion, feature enrichment and dataset registry systems, and batch inference pipelines running on large GPU clusters. Develop scalable data processing using tools like Ray and Spark, enable semantic search and vector database–backed discovery, and partner with ML research teams to productionize reliable pipelines.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and maintain distributed training data loaders for multi-source ingestion, temporal sampling, and real-time transformations.
  • •Implement and maintain feature enrichment pipelines and dataset registry systems for multimodal model training across images, video, documents, and text.
  • •Develop batch inference pipelines for large-scale feature extraction on distributed GPU clusters with queue management and fault tolerance.
  • •Create data processing systems for SQL-based ingestion and Apache Arrow-based storage using frameworks like Ray, Spark, or similar tools.
  • •Contribute to CI/CD and observability for production ML data systems, collaborating with ML research teams to translate training needs into scalable infrastructure.

Pay and Benefits

Salary: USD 151,800 - 265,350 annually

Key Requirements

  • •5-6 years of professional experience building and operating distributed systems or data infrastructure in production environments.
  • •Solid distributed computing fundamentals with experience using frameworks like Apache Spark, Ray, Dask, or equivalents.
  • •Familiarity with cloud platforms (AWS or Azure) and data platforms such as Databricks or Spark.
  • •Proficiency in Python with strong software engineering fundamentals (system design, data structures, algorithms).
  • •Bachelor’s degree in Computer Science, Engineering, or a related field (MS a plus).
Experience:Distributed systemsData infrastructureMachine learningMLOps
Education:Bachelor's in Computer Science, Engineering, or a related field
Skills:CommunicationCollaborationSystem designPerformance optimizationReliability focus
Tech Stack:PythonApache RaySparkDuckDBDaskAWSAzureDatabricksDockerCI/CDPyTorchTensorFlowApache ArrowOpenSearchLanceDBVector databasesSemantic searchDistributed GPU clustersSQLData ingestion

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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