Adobe Firefly Applied Science & Machine Learning (ASML) is looking for a Sr Manager, Applied Science – Generative AI Data Research to lead a team conducting **multimodal data research **and build datasets that support training and development of foundation models for generative AI multimodal generation (image, video, audio)
The role is for a senior manager who has experience with data for foundation model training, software engineering background, and applied ML. You will lead a team responsible for developing datasets for foundational model training. This involves content acquisition, filtering, curation and media understanding, and performing model ablations to validate data before large-scale training.
The focus of this role is on large-scale data which supports foundation model training in all its stages. You will work closely with applied researchers, ML engineers, and product partners to turn evolving research and product needs into scalable, maintainable data pipelines and datasets.
Success in this role requires strong engineering judgment, comfort with ambiguity, and the ability to guide both system design and applied ML workflows, while scaling impact through effective team leadership and execution.
What You’ll Do
Lead and grow a team of applied scientists and engineers working on** multimodal data research and generative AI training systems**
Own and evolve key parts of the training and experimentation datasets.
Partner closely with applied research and engineering teams to support the full lifecycle from experimentation to production
Drive technical design and architecture decisions for large-scale data pipelines and dataset creation and maintenance.
Remain hands-on enough to review designs, guide implementation choices, and unblock complex technical issues
Establish standard processes for system robustness, testing, observability, and reproducibility
Drive execution against milestones while adapting to changing research and product priorities
Build a strong team culture focused on ownership, collaboration, and continuous improvement
What You Need to Succeed
MS or PhD in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent practical experience
At least 4+ years of experience leading or managing technical teams in AI/ML domains, with a large component of working on data.
Strong hands-on experience working on model training and data.
Ability to operate as a technical leader, making sound design tradeoffs and unblocking complex engineering problems
Strong communication skills and the ability to collaborate across research, engineering, and product organizations
Comfort working in fast-moving, ambiguous environments typical of generative AI development
#FireflyGenAI
About Adobe
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Expected Pay Range:
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 $178,900 -- $351,225 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 $242,600 - $351,225 In Washington, the pay range for this position is $215,600 - $312,200
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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California:
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Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
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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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