2026 University Graduate - Machine Learning Engineer

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!

 

Our Company 

Adobe is revolutionizing the landscape of digital experiences through agents and generative AI, and we’re seeking a highly accomplished Senior Machine Learning Engineer to join our Search, Discovery & Content AI (SDC) team. This is a pivotal role within a high impact organization, driving innovation across Adobe’s Creative Cloud, Document Cloud, and Adobe Express platforms.
 
The Opportunity  
The SDC team is dedicated to empowering customers – from creative professionals to everyday users – with intelligent tools to create, manage, and discover digital content. We are building the next-generation platform stack to support the immense scale and breadth of Adobe’s needs in content understanding, processing, and discovery, powering generative AI agents and the world’s leading creative tools.

You will be a key technical leader, responsible for designing, developing, and deploying large-scale machine learning systems that directly impact millions of users and billions of content pieces. You will have the opportunity to push the boundaries of what’s possible in generative AI, language models, and assistive experience optimization, all within the supportive infrastructure and resources of Adobe.

What You’ll Do  
Technical Leadership: Drive innovation and engineering excellence
System Design & Development: Architect and develop end-to-end machine learning systems using innovative architectures
Model Optimization & Deployment: Develop and implement scalable, GPU-optimized modeling algorithms capable of handling large-scale data in production environments.
Pipeline Development: Build and maintain high-performance, scalable, and maintainable platform features throughout the complete ML pipeline.
Collaboration & Communication: Partner with architects, product management, and engineering teams to translate product requirements into innovative technical solutions
Emerging Technologies: Design and develop runtimes and libraries for emerging ML technologies, ensuring we remain at the forefront of the field.
Documentation & Review: Contribute to the creation of detailed requirements and design documents for features across the technology stack.
 
What You Need to Succeed

• Education: PhD or master’s degree in computer engineering, Computer Science, Computer Vision, Robotics, or a related field, or equivalent experience.

• Technical Expertise:

• Deep understanding of generative AI, deep learning, computer vision, and recommendation systems, with a proven track record of applying these methods to solve complex problems.

• Proficiency with machine learning frameworks and tools such as Scikit-learn, Hugging Face, PyTorch, and PyTorch Lightning.

• Expertise with cloud technologies, Docker, and containerization.

• Experience with AWS, Microsoft Azure, or equivalent cloud platforms.

• Proficiency in one or more programming languages, including Python, C++, Java, and Rust.

Strengths you’ll need

• Exceptional analytical and quantitative problem-solving skills.

• Excellent communication, interpersonal, and relationship-building skills.

• Demonstrated ability to thrive in a collaborative team environment.

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 $102,400 -- $202,250 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 f