Machine Learning Engineer 3 ( Firefly )

Adobe Systems
Noida
Full timeFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Mentorship","Collaboration","Technical excellence","Continuous improvement","Innovation"]

Build scalable, high-performance generative AI services for Adobe Firefly and other Adobe Creative Cloud products. Design inference pipelines, optimize models for low-latency serving, and deliver APIs and integrations across first-party and third-party generative models for individual and enterprise customers. Partner with Research and model developer teams on inference strategies and productization, and lead GPU-accelerated workflows for both training and inference with an emphasis on performance, scalability, and reliability.

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FursaFursa
Adobe Systems
Adobe Systems
2 days ago

Machine Learning Engineer 3 ( Firefly )

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Build scalable, high-performance generative AI services for Adobe Firefly and other Adobe Creative Cloud products. Design inference pipelines, optimize models for low-latency serving, and deliver APIs and integrations across first-party and third-party generative models for individual and enterprise customers. Partner with Research and model developer teams on inference strategies and productization, and lead GPU-accelerated workflows for both training and inference with an emphasis on performance, scalability, and reliability.
Location: Noida
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop core GenAI services and APIs that integrate a wide range of generative models into Adobe flagship products.
  • •Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
  • •Collaborate with Adobe Research and other model developer teams on model inference strategies and productization.
  • •Build and optimize GPU-accelerated pipelines for customized model training and inference, prioritizing performance, scalability, and reliability.
  • •Set technical direction and mentor other ML engineers while fostering innovation and continuous improvement.

Key Requirements

  • •6+ years of experience in machine learning with production-scale deployments.
  • •4+ years of experience leading large-scale, GPU-intensive GenAI systems across training, inference, and optimization.
  • •Experience with GenAI frameworks and tools including PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
  • •Strong understanding of generative model architectures including diffusion models, transformers, and GANs.
  • •Preferred: model serving, inference, orchestration, and GPU resource management in large-scale environments.
Experience:6+ yearsGenAIProduction-scale deploymentsGPU-intensive systems
Skills:MentorshipCollaborationTechnical excellenceContinuous improvementInnovation
Tech Stack:PyTorchCUDATritonTensorRTNvidia DynamoPythonKubernetesDistributed systemsMLOpsGPU-accelerated pipelines

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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