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San Francisco, California, United States
Hybrid
The world of design is changing rapidly, and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft.
We are looking for a Senior Machine Learning Engineer to power the intelligence inside our products. This is a hands-on modeling role for someone proficient in the full stack: classical discriminative to interpret, generative to produce, and agentic to act. Join us and build Adobe’s future products!
Partner with Product, Engineering, and Data Science teams to define problems, scope feasibility, and translate research into shipped experiences.
Design, prototype, and ship models powering product features, from predictive and ranking to generative and agentic systems, including RAG, embeddings, fine-tuning, and in-product copilots for creative use cases.
Own evaluation end to end: define what "good" means, build offline and online evaluation harnesses, and detect quality regressions in production.
Build the data and MLOps foundations that keep models reliable: feature pipelines, experiment tracking, versioning, CI/CD, automated retraining, and monitoring.
Minimum Requirements:
Bachelor's in a quantitative field (CS, ML, Data Science, Engineering, or similar) or equivalent practical experience.
5+ years building, deploying, and operating ML systems in production at scale.
Strong core ML foundation: feature engineering and shipping supervised/unsupervised models for prediction, ranking, recommendation, or personalization.
Working depth in modern GenAI on top of that: LLMs or generative models in production (RAG, embeddings, fine-tuning, or agent design).
Fluency in Python and SQL, and broader ML tooling and infrastructure ecosystem.
Rigorous offline and online evaluation and experimentation design and operation.
Ability to frame problems before modeling, and to communicate technical work clearly to non-technical Product and Design partners.
Preferred Requirements:
Master's or PhD in a quantitative discipline.
Background in consumer product analytics, especially in creative tools, SaaS, or subscription businesses.
Experience with recommendation systems or personalization especially for visual or creative content.
Experience deploying and monitoring models in Databricks (MLflow, Feature Store, model serving) or a comparable production ML environment.
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.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
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 $133,100 -- $236,400 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 $163,200 - $236,400

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.