Sr. Machine Learning Engineer 4

We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers 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.

What You’ll Do

• Bring a 0→1 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.

What You Need to Succeed
Required Qualifications

• Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
• 5+ years of experience in machine learning engineering, applied research, or production ML systems.
• Strong Python software engineering skills, including system design, clean architecture, testing, CI/CD, version control, and code review best practices.
• Experience taking ML-powered features from 0→1 through production and ongoing iteration.
• Hands-on experience deploying and monitoring ML models in production environments.
• Experience designing or contributing to agentic architectures and multi-agent orchestration systems.
• Strong understanding of classical ML, deep learning, and modern Generative AI techniques.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment.
• Solid foundation in data structures, algorithms, and distributed system design.
• Comfortable leveraging AI coding agents to accelerate development workflows.
• Excellent communication skills and demonstrated technical leadership experience.

Preferred Qualifications

• Experience with Generative AI systems, prompt optimization frameworks, and LLM-as-a-judge / evaluation methodologies.
• Deep understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines.
• Experience with MLOps tooling, experiment tracking, model lifecycle management, and observability frameworks.
• Track record of mentoring engineers and influencing technical direction on high-visibility projects.

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 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.

 

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 position is $151,800 -- $265,350 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.

 



In California, the pay range for this position is $183,300 - $265,350
In Washington, the pay range for this position is $165,600 - $239,725


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.