Sr Machine Learning Engineer, Adobe Firefly Services

Adobe Systems
San Jose, Seattle, San Francisco
Workplace: OnsiteFull timeUSD 151,800 - 265,350 annuallyFunction: Data Science & Machine LearningExperience: 4-7 yearsEducation: mastersSkills: ["Communication","Leadership","Technical excellence","Continuous improvement","Mentoring"]

Build and scale generative AI services for Adobe Firefly and other Creative Cloud products. You’ll design inference pipelines optimized for latency, develop ML workflows for enterprise customization, and create APIs that integrate first-party and third-party generative models. Partner with Adobe Research on inference strategies, GPU-accelerated training and serving pipelines, and technical direction—mentoring ML engineers while improving performance, scalability, and reliability.

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FursaFursa
Adobe Systems
Adobe Systems
1 month ago

Sr Machine Learning Engineer, Adobe Firefly Services

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Last checked: 1 minute agoStatus: Live

Job Summary

Build and scale generative AI services for Adobe Firefly and other Creative Cloud products. You’ll design inference pipelines optimized for latency, develop ML workflows for enterprise customization, and create APIs that integrate first-party and third-party generative models. Partner with Adobe Research on inference strategies, GPU-accelerated training and serving pipelines, and technical direction—mentoring ML engineers while improving performance, scalability, and reliability.
Location: San Jose, Seattle, San Francisco
Workplace: Onsite
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 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 model developer teams on inference strategies and productization.
  • •Build and optimize GPU-accelerated pipelines for customized model training and inference with performance, scalability, and reliability.
  • •Set technical direction and mentor other ML engineers while fostering innovation and continuous improvement.

Pay and Benefits

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

Key Requirements

  • •MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
  • •4-7+ years of machine learning experience, including production-scale deployments.
  • •2+ years leading large-scale, GPU-intensive GenAI systems across training, inference, and optimization.
  • •Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
  • •Strong understanding of generative model architectures including diffusion models, transformers, and GANs.
Experience:4-7 yearsGenerative AIMachine learningMLOpsGPU-intensive systemsProduction deployments
Education:Master's in Computer Science, Machine Learning
Skills:CommunicationLeadershipTechnical excellenceContinuous improvementMentoring
Tech Stack:PyTorchCUDATritonTensorRTNvidia DynamoPythonKubernetesGPUGPU-accelerated pipelinesMLOpsDiffusion modelsTransformersGANsDistributed systemsInference pipelinesModel servingAPI development

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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