Job Description

We'relooking for an Applied Machine Learning Engineer to design and deliver intelligent typographic features across Adobe's creative products, simplifying decisions and workflows for millions of users. Typography has beencoreto Adobe fornearly 40years, and our mission is to make advanced typographic capabilitiessimple smart, and inspiring.

The Adobe Fonts & Type team builds systems that surface the power of fonts and automate complex layout and styling. In this role you will apply advanced modeling to design, train, debug, and operationalize ML systems for layout, generative styling, and design intelligence. You will own the modeling lifecycle end-to-end: from data preparation and training pipelines to production deployment and monitoring, and partner closely with software engineers to integrate models into hybrid product architectures.

Why this role matters

This role brings modeling into production at scale for one of Adobe's core creative domains. You will help move ML systems from prototype to reliable product capabilities that improve the creative experience for millions of users.

WhatYou’llDo

Model typographic layout, styling, and generative workflows; convert research ideas into reproducible implementations and product features.

Build andmaintainend-to-end training pipelines including data ingestion, feature engineering, training, validation, and artifact management.

Perform model debugging and error analysis (ablation studies, failure analysis, metric design) and tune hyperparameters for performance and robustness.

Optimizetraining and inference (mixed precision, quantization, distillation, pruning) with attention to latency, cost, and scalability.

Productionize models and inference services; implement monitoring for model drift and data quality.

Collaborate with computer science and product engineers to integrate modeling solutions into client and server architectures (APIs, SDKs, services).

Write production-quality code, tests, and automation for labeling and evaluation; follow CI/CD best practices.

Prototype generative approaches (diffusion, GANs, multimodal transformers) and apply reinforcement learning or bandit methods whereappropriate forinteractive optimization.

WhatYou’llNeed to Succeed

5-8 years building and operating production ML systems.

Strong Python skills and hands-on experience withPyTorch, TensorFlow, or similar frameworks.

Demonstrated ownership across the modeling lifecycle: data -> modeling -> training -> deployment -> monitoring.

Experience debugging models, tuning hyperparameters, and improving model performance in production environments.

Experience building data pipelines and model serving infrastructure.

Strong software engineering fundamentals (testing, version control, code reviews, CI/CD).

Experience working with engineering teams to integrate modeling solutions into large-scale product systems.

Comfortable in an R&D and iteration-heavy environment and able to move prototypes toward reliable production systems.

Nice to Have

Experience with diffusion models, GANs, or reinforcement learning.

Computer vision experience (segmentation, masking, OpenCV, Detectron2, SAM, YOLO).

Experienceoptimizingmodels for production (GPU acceleration, quantization, distillation).

Background in recommendation systems, ranking, or NLP.

MS or PhD in Computer Science, ML, or related field.

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 $190,200 -- $345,650 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 $238,700 - $345,650

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.

Senior Applied Machine Learning Engineer

Adobe

Job Description

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