Machine Learning Engineer, Generative AI

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

The Opportunity 

Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years. 

At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models and the associated prompt engine. This is an opportunity to reach millions of creatives, helping them recreate the way they work. 

What you will Do  

• Develop and optimize machine learning solutions with cutting-edge architectures that impact millions of users across Adobe’s products. 

• Enhance Firefly’s inferencing pipeline to power generative AI features across multiple platforms, including Firefly Web, Photoshop, Illustrator, Express, and Stock. 

• Design GPU-optimized, efficient model pipelines that serve diverse modalities such as images, vectors, and 3D assets. 

• Ensure scalability and reliability of Firefly’s cloud services, incorporating observability, logging, and tracing to enable rapid issue detection and resolution. 

• Develop key business logic for Firefly services, including usage metering, entitlement checks, quota management, and upsell workflows. 

What You’ll Need to Succeed 

 

• PhD or Master’s in Computer Science, Computer Engineering, Computer Vision, Robotics, or a related field—or equivalent experience. 

• 3+ years of hands-on experience developing production-grade machine learning models using PyTorch and Python. 

• Proven expertise in GPU-intensive ML workloads, including optimization, scaling, and deployment in production environments. 

• Strong knowledge of model serving and orchestration, including GPU resource management for scalable ML systems. 

• Deep understanding of Visual Foundation Models (e.g., Transformers, Diffusion) and Multimodal Language Models (e.g., Text-to-Image, Image-to-Text, Text-to-Video), including evaluation methodologies and productization challenges. 

• Excellent problem-solving skills, with the ability to analyze complex issues and drive solutions with a data-driven approach. 

• Strong collaboration and communication skills, with a proven ability to work in cross-functional teams. 

At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. 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. 

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. 

#FireflyGenAI

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 $120,700 -- $228,600 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.

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.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 applicable characteristics protected by law. Learn more.
 

Adobe aims to make Adobe.com 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 (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.