Principal Machine Learning Engineer

Adobe Systems
San Jose, Seattle, San Francisco
Workplace: OnsiteFull timeUSD 206,400 - 379,100 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: phdSkills: ["Communication","Technical leadership","Cross-functional alignment","Technical excellence","Continuous improvement"]

Serve as the technical lead for enterprise GenAI Services, owning how generative models are architected, optimized, and served at scale. Define inference architecture and standards for multi-model pipelines (LLMs, diffusion/image/video, RAG/agents, and 3D/mesh), design enterprise GPU performance strategy, and architect APIs and plugin backends that integrate first- and third-party models across Adobe products. Hands-on direction spans multiple teams.

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FursaFursa
Adobe Systems
Adobe Systems
3 days ago

Principal Machine Learning Engineer

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Last checked: 36 minutes agoStatus: Live

Job Summary

Serve as the technical lead for enterprise GenAI Services, owning how generative models are architected, optimized, and served at scale. Define inference architecture and standards for multi-model pipelines (LLMs, diffusion/image/video, RAG/agents, and 3D/mesh), design enterprise GPU performance strategy, and architect APIs and plugin backends that integrate first- and third-party models across Adobe products. Hands-on direction spans multiple teams.
Location: San Jose, Seattle, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead development of core GenAI services and APIs integrating first- and third-party generative models into Adobe products.
  • •Architect ML serving workflows for enterprise-scale customization, deployment, and ecosystem integration, including fine-tuning flows.
  • •Co-develop and optimize GPU-accelerated inference pipelines using tools such as PyTorch, CUDA, Triton, and TensorRT.
  • •Design and architect the product backend and plugin ecosystem for internal applications and external integrations consuming model services.
  • •Provide hands-on technical leadership across multiple teams, guiding engineers through architecture/design/implementation and setting technical standards.

Pay and Benefits

Salary: USD 206,400 - 379,100 annually

Key Requirements

  • •MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
  • •8+ years of experience in machine learning engineering with production-scale deployment and serving (not model training or research experimentation).
  • •3+ years leading the technical direction of large-scale, GPU-intensive GenAI inference systems, including serving, architecture, and optimization.
  • •Deep experience with inference frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
  • •Proven experience architecting multi-model pipelines and serving them behind APIs at enterprise scale.
Experience:8+ yearsGenAIEnterprise scaleGPUMLOpsRAG
Education:PhD / Doctorate in Computer Science, Machine Learning, or a related field
Skills:CommunicationTechnical leadershipCross-functional alignmentTechnical excellenceContinuous improvement
Tech Stack:PyTorchCUDATritonTensorRTNvidia DynamoPythonKubernetesGPUMLOpsRAGLLMsDiffusion modelsTransformersGANsQuantization

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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