Machine Learning Engineer, Express AI Foundations

The Opportunity

Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, exposure to ML systems, and interest in building reliable large-scale platforms that support modern AI products.

You’ll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.

What You’ll Do

• Contribute to the development of core platform components that support AI experiences in Adobe Express.
• Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
• Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
• Support runtime systems for inference and orchestration with attention to reliability, observability, and performance.
• Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
• Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
• Participate in debugging, testing, monitoring, and operational improvements for AI platform services

What You'll Bring

• 3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
• Good understanding of distributed systems fundamentals, backend services, and scalable system design.
• Experience building or supporting APIs, data pipelines, or event-driven systems.
• Proficiency in Python, Java, C++, or Go.
• Familiarity with cloud environments, service deployment, and production engineering practices.
• Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
• Strong problem-solving skills and the ability to work well in a collaborative team environment.
• Clear communication skills and willingness to learn from cross-functional partners.

Preferred Qualifications

• Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
• Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
• Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
• Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
• Interest in agentic AI concepts such as tool use, task planning, or memory systems.

Why Adobe

At Adobe, we’re building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered creative experiences.

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 [email protected] 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:

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.