Principal Scientist, ML – Overall Architect

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 206,400 - 379,100 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Technical leadership","Cross-team collaboration","Architectural decision-making","Problem-solving","Execution"]

Own end-to-end architecture for Adobe’s next-generation video and image foundation models, bridging the training & inference framework, ML model building, and data pipelines. Lead principal-level decisions for distributed training and inference/serving systems, co-designing model architecture with training recipes and data design. Serve as the cross-team technical authority and drive architecture choices for GenRender6/Gen6.5 and GenEdit1, optimizing performance, scalability, and cost.

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Adobe Systems
Adobe Systems
3 days ago

Principal Scientist, ML – Overall Architect

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Last checked: 9 hours agoStatus: Live

Job Summary

Own end-to-end architecture for Adobe’s next-generation video and image foundation models, bridging the training & inference framework, ML model building, and data pipelines. Lead principal-level decisions for distributed training and inference/serving systems, co-designing model architecture with training recipes and data design. Serve as the cross-team technical authority and drive architecture choices for GenRender6/Gen6.5 and GenEdit1, optimizing performance, scalability, and cost.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Own end-to-end technical architecture spanning the training & inference framework, ML model building, and data—ensuring coherent and mutually reinforcing systems.
  • •Provide principal-level technical direction for large-scale distributed training (FSDP, tensor and pipeline parallelism, checkpointing, fault tolerance) and inference/serving infrastructure for performance, reliability, and cost efficiency.
  • •Co-design the interaction between model architecture choices, training recipes, and data design, resolving architectural tensions across modeling and data teams.
  • •Serve as primary technical authority connecting training & inference framework, model building, and data teams—aligning interfaces and keeping workstreams coherent as models scale.
  • •Make architecture-level decisions for GenRender6/Gen6.5 and GenEdit1 across training execution, inference deployment, model design, and data pipeline integration; optimize for efficiency, quality, and cost.

Pay and Benefits

Salary: USD 206,400 - 379,100 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •PhD in Computer Science, Electrical Engineering, AI/ML, or a related field (or equivalent depth through research contributions or principal-level systems impact).
  • •Demonstrated principal-level breadth across distributed training systems, inference/deployment infrastructure, model architecture, and data pipelines.
  • •Hands-on expertise with large-scale distributed training and inference/serving for large generative models (e.g., PyTorch FSDP, tensor and pipeline parallelism, checkpointing, fault tolerance).
  • •Strong understanding of how model architecture interacts with training infrastructure and data recipes, with ability to drive co-design decisions across these areas.
  • •Proven ability to drive technical direction across multiple teams, resolving architectural conflicts and delivering at principal/staff level in complex organizations.
Experience:Generative AIComputer visionLarge-scale ML systemsVideo generationDiffusionFoundation modelsMultimodal
Education:PhD / Doctorate
Skills:Technical leadershipCross-team collaborationArchitectural decision-makingProblem-solvingExecution
Tech Stack:PyTorchFSDPTensor parallelismPipeline parallelismCheckpointingFault toleranceInferenceDeploymentData pipelinesDistributed trainingDiffusionFlow matching

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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