Adobe
San Jose
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.
End-to-End Architecture Ownership Own the overall technical architecture spanning the Training & Inference Framework, ML model building, and data — making principled design decisions that keep training systems, model architecture, and data pipelines coherent and mutually reinforcing.
Training & Inference Systems Leadership Provide principal-level technical direction for large-scale distributed training (FSDP, Tensor Parallelism, Pipeline Parallelism, checkpointing, fault tolerance) and inference/serving infrastructure, ensuring systems are performant, reliable, and cost-efficient at scale.
Model Architecture & Data Co-Design Drive the interaction between model architecture choices, training recipes, and data design — identifying co-design opportunities and resolving architectural tensions across modeling and data teams.
Cross-Team Technical Direction Serve as the primary technical authority connecting TIF, model building, and data teams — unblocking architectural seams, aligning on interfaces, and ensuring workstreams remain coherent as models scale.
Architecture Decisions for Next-Generation Models Own architecture-level decisions for GenRender6 / Gen6.5 and GenEdit1, spanning training execution, inference deployment, model design, and data pipeline integration.
Performance and Scalability Drive architecture choices that optimize for training and inference efficiency, model quality, and cost — translating scaling and deployment requirements into concrete architecture decisions.
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
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AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $206,400 - $379,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $261,800 - $379,100
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.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
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:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.