What are the responsibilities and job description for the Staff Machine Learning Engineer/Architect – Personalization, Adobe Experience Platform (AEP) position at Adobe and Careers?
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.
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 $172,500 -- $306,625 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 $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.
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.
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 $172,500 -- $306,625 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 $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.
Salary : $172,500 - $306,625