JOB LEVEL
P55
EMPLOYEE ROLE
Individual Contributor
Job Description
We're looking 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 been core to Adobe for nearly 40 years, and our mission is to make advanced typographic capabilities simple 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.
What You’ll Do
Model typographic layout, styling, and generative workflows; convert research ideas into reproducible implementations and product features.
Build and maintain end-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.
Optimize training 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 where appropriate for interactive optimization.
What You’ll Need to Succeed
5-8 years building and operating production ML systems.
Strong Python skills and hands-on experience with PyTorch , 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).
Experience optimizing models for production (GPU acceleration, quantization, distillation).
Background in recommendation systems, ranking, or NLP.
MS or PhD in Computer Science, ML, or related field.
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 positionis $190,200 -- $345,650 annually. Paywithin this range varies by work locationand 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.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile - don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll .
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
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 .