JOB LEVEL
P50
EMPLOYEE ROLE
Individual Contributor

The Opportunity
Adobe is seeking a Staff Machine Learning Engineer/Architect to lead the development of next-generation personalization models and intelligent AI agents within Adobe Experience Platform (AEP).
Our team is building intelligent agent systems that can autonomously design, generate, optimize, and evaluate personalization models at scale. These agents reason over customer data, business objectives, and experimentation signals to create adaptive models that continuously improve digital experiences.
As a senior member of the AI team, you will own the end-to-end lifecycle of personalization AI systems, from research and modeling to production deployment, monitoring, and MLOps automation. You will work at the intersection of personalization modeling, multimodal LLMs, agentic reasoning, real-time decisioning, and enterprise-scale ML infrastructure.
This role is ideal for engineers and applied scientists who want to build production-grade AI systems that autonomously power personalization, targeting, ranking, and next-best-action strategies across billions of interactions.
You’ll collaborate closely with Adobe Research, Product Management, and Platform Engineering to ensure AI-driven personalization is not an add-on-but a foundational capability embedded across Adobe’s Digital Experience products.

What You’ll Do

• Design and build advanced personalization models including propensity models, recommendation models and systems, uplift models, reinforcement learning, and generative personalization systems.

• Develop LLM-powered intelligent agents that can generate and tune personalization models, automate experimentation and model optimization and recommend next-best-actions and targeting strategies

• Architect and implement end-to-end ML systems, including:

• Feature engineering pipelines (batch and streaming)

• Model training and evaluation frameworks

• Low-latency inference systems

• Build and scale real-time decisioning systems that operate across high-throughput enterprise environments.

• Lead MLOps initiatives, including CI/CD for ML, model versioning, monitoring, drift detection, automated retraining, and performance governance.

• Drive system reliability, scalability, and observability across distributed ML services.

• Partner with product leaders to translate personalization strategy into measurable business impact.

• Mentor engineers on modern ML practices, agentic AI design, and production grade ML architecture.

• Champion responsible AI and personalization practices, focusing on interpretability, fairness, safety, and user trust.

What You Need to Succeed

• Bachelor’s degree with 8+ years of experience, or PhD with 5+ years building and deploying ML systems at scale.

• Deep expertise in personalization systems, recommendation models, or real-time decisioning architectures.

• Some experience with LLMs, agentic systems, prompt engineering, RAG, or context engineering, especially in production environments.

• Proven success building and shipping end-to-end ML systems, from research to deployment and ongoing optimization.

• Hands-on experience with MLOps best practices, including model lifecycle management, monitoring, automated retraining, CI/CD for ML, and large-scale inference systems.

• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain, or equivalent.

• Strong analytical skills with the ability to connect modeling decisions to business metrics such as lift, engagement, and customer lifetime value.

• Excellent cross-functional collaboration skills and demonstrated technical leadership.

• Experience bridging research and production in enterprise scale AI applications.

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 positionis $172,500 -- $306,625 annually. Paywithin this range varies by work locationand 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.

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In California, the pay range for this position is $211,800 - $306,625

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.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile - don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll .

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

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 .