Adobe Firefly – Applied Science & Machine Learning
Generative AI is redefining creativity. As these systems scale to millions of users across image, video, and audio, the ability to learn from real-world usage becomes a critical differentiator. Building great generative models is onlyhalfthe challenge. The other half is closing the loop: using production signals and user feedback to continuously measure, calibrate, and improve model behavior.
The Adobe Firefly Applied Science & Machine Learning team builds the systems that ensure our generative models perform reliably and responsibly at scale. We are looking for a Senior Machine Learning Engineer to own and build systems that improve our deployed models based on user input over time. This role sits at the intersection ofproductionML infrastructure, preference modeling, and large-scale data systems. You willbe responsible forturning noisy, real-world signals into actionablemodeland system improvements.
Feedback-Driven Model Improvement
Architect reliable, scalable data pipelines for feedback collection, processing, and signal extraction across multimodal generative workflows.
Own the feedback systems initiative end to end, from problem scoping through system design, implementation, and production deployment.
Scope and prototype new applications of feedback data, including preference-based steering of generation quality and training data improvement, as the initiativematuresand new high-value opportunitiesemerge.
What You'll Need to Succeed
Experience designing systems under real-world constraints: latency, throughput, data quality, and reliability.
Strong understanding of multimodal ML, including vision-language models and generative architectures (diffusion, autoregressive, multimodal transformers), with the ability to reason about model behavior across modalities andidentifywhere feedback signals can drive meaningful improvement.
Hands-on experience with preference modeling, reward modeling, or RLHF-adjacent techniques, with an understanding of how to apply these in production settings where data is noisy and labels are imperfect.
Strong experimental design skills with the ability to define metrics, run rigorous evaluations, and draw reliable conclusions from ambiguous, real-world data.
About Adobe
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.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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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.
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 $151,800 -- $265,350 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 $183,300 - $265,350
In Washington, the pay range for this position is $165,600 - $239,725
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.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
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:
Massachusetts Legal Notice
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.
