Principal Scientist, ML – Overall Architect

Adobe Applied Science & Machine Learning (ASML) is seeking a Principal Scientist, ML – Overall Architect to serve as the cross-cutting technical owner bridging our training and inference framework, ML model building, and data across Adobe's next-generation video and image foundation models.
In this role, you will operate as the principal-level architect responsible for end-to-end coherence — holding the full technical picture across large-scale distributed training systems, inference and deployment, model architecture, and data recipe design, and making the architecture decisions that keep all of them aligned. Rather than owning a single system or model, your scope spans the seam between infrastructure, modeling, and data, ensuring these interdependencies are resolved at the architecture level rather than through coordination overhead.
This role is intended for those who can operate with genuine authority at the intersection of systems, modeling, and data at scale — and whose technical judgment drives cross-team direction.

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At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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Colorado:

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

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