Sr Staff Machine Learning Engineer, Adobe Firefly Services

Adobe Systems
Seattle, San Jose
Workplace: OnsiteFull timeUSD 190,200 - 345,650 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Communication","Leadership","Mentorship","Innovation","Continuous improvement"]

Build scalable, high-performance generative AI services for Adobe Firefly’s GenAI Services team. Own inference pipeline design and optimization for low latency, and develop APIs and ecosystems integrating first-party and third-party models across Adobe products. Collaborate with Adobe Research on inference strategies and productization, optimize GPU-accelerated training and serving workflows, and set technical direction while mentoring other ML engineers.

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FursaFursa
Adobe Systems
Adobe Systems
1 month ago

Sr Staff Machine Learning Engineer, Adobe Firefly Services

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Build scalable, high-performance generative AI services for Adobe Firefly’s GenAI Services team. Own inference pipeline design and optimization for low latency, and develop APIs and ecosystems integrating first-party and third-party models across Adobe products. Collaborate with Adobe Research on inference strategies and productization, optimize GPU-accelerated training and serving workflows, and set technical direction while mentoring other ML engineers.
Location: Seattle, San Jose
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 other model teams on inference strategies and productization.
  • •Build and optimize GPU-accelerated pipelines for training and inference, prioritizing performance, scalability, and reliability.
  • •Set technical direction and mentor other ML engineers while fostering a culture of innovation and continuous improvement.

Pay and Benefits

Salary: USD 190,200 - 345,650 annually
Equity and Bonus:Equity

Key Requirements

  • •MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
  • •10+ years of machine learning experience, including production-scale deployments.
  • •3+ years leading large-scale, GPU-intensive GenAI systems spanning 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:10+ yearsGenerative AIMachine learningGPU-accelerated systemsMLOps
Education:
Skills:CommunicationLeadershipMentorshipInnovationContinuous improvement
Tech Stack:PyTorchCUDATritonTensorRTNvidia DynamoPythonDiffusion modelsTransformersGANsKubernetesGPU-accelerated pipelinesModel servingInferenceOrchestrationDistributed systemsMLOpsAPIs

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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