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!

We are looking for a Senior Machine Learning Engineer to join our team of motivated machine learning and software engineers. This role covers ML system design, prompt engineering, ML model evaluation, building data pipelines, prototype creation, and operationalization.
The ideal candidate will have a strong background in both classical and deep learning, along with experience developing and deploying production-ready ML and GenAI solutions. If you enjoy shipping impactful, customer-facing features, experimenting with new technologies, and contributing to high-visibility projects with room for creativity and ownership, this role is for you. Our work is dynamic, collaborative, and data-driven.

• Bring a 01 product mindset, helping shape ideas into real, measurable impact.
• Design, build, and optimize backend services that power ML and Generative AI features.
• Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches.
• Contribute to agentic systems and orchestration frameworks that enable intelligent, multi-step reasoning and task automation.
• Collaborate with cross-functional teams to integrate ML solutions into production workflows.
• Analyze and improve the efficiency, accuracy, and scalability of AI-enabled systems.
• Stay up to date with advancements in ML, GenAI, and prompt optimization research.
• Mentor junior engineers and help grow the team's technical depth.

• Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
• 5+ years of experience in machine learning engineering or applied research.
• Strong software engineering fundamentals: version control, code review, CI/CD, testing.
• Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or SageMaker.
• Proven experience deploying ML models in production environments.
• Familiarity with cloud platforms (AWS, GCP, Azure) for ML deployment.
• Strong understanding of data structures, algorithms, and system design.
• Excellent communication, problem-solving, and technical leadership skills.

• Experience with Generative AI, prompt optimization frameworks, and LLM-as-a-judge evaluation systems.
• Understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines.
• Experience building agentic architectures or multi-agent orchestration systems.
• Familiarity with MLOps tools and lifecycle management.

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.

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