As a Senior Machine Learning Engineer with Adobe's Experience Intelligence team, you will compose, build, and deploy production-grade AI systems. These systems power intelligent experiences across commercial and promotional activities. You will work on GenAI agents, predictive ML, retrieval and reasoning systems, and the platforms that support them at scale. Partnering with engineers, product managers, and business collaborators, you will turn emerging AI capabilities into reliable, scalable solutions that solve real-world business problems.

Key Responsibilities:

Design, build, and deploy production-grade AI systems, including GenAI agents, predictive ML, retrieval and reasoning systems, agent frameworks, tool calling, multi-agent workflows, APIs, and data pipelines, with a strong focus on quality, scalability, reliability, and performance.
Develop AI/ML solutions over large-scale structured and unstructured enterprise data, including evaluation frameworks and techniques to continuously improve accuracy and user experience.
Own solutions end-to-end, from architecture and experimentation through implementation, testing, deployment, monitoring, and continuous improvement.
Partner closely with product managers and collaborators to identify high-value problems and integrate AI capabilities into real-world sales and marketing workflows.
Identify and prototype emerging AI opportunities, turning new technologies and ideas into differentiated, production-ready capabilities.

What You Need to Succeed:

MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
5+ years of experience building and deploying machine learning, GenAI, NLP, retrieval, or related AI systems.
Strong understanding of modern LLM and agentic AI technologies, including RAG, tool/function calling, reasoning, evaluation, and context management.
Strong foundation in machine learning, predictive modeling, statistics, and techniques for working with large-scale structured and unstructured data.
Strong software engineering skills, including Python, data structures and algorithms, system design, testing, code quality, and production debugging.
Experience building production AI/ML services using technologies such as PyTorch, REST APIs, Docker, data/orchestration pipelines, and cloud platforms such as Azure or AWS.
Experience designing scalable and reliable AI systems and evaluating them across quality, latency, cost, and operational performance.
Excellent problem-solving and communication skills, with the ability to work effectively across technical and business teams in a fast-paced environment.

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.

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 $142,700 -- $270,950 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 $187,100 - $270,950

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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