Adobe
AI/ML Engineer – GenAI Assistant & Experience Engineering
Adobe, San Jose, California, United States, 95199
Company Overview
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.
About The Team The Gen AI Experience Engineering team is defining the future of intelligent workflows across Adobe Experience Cloud with the AI Assistant. We operate like a startup within Adobe—fast, iterative, and customer‑focused. Our mission is to build the intelligent systems, models, and services that power Adobe’s AI Assistant experience.
The Opportunity We’re looking for an
AI/ML Engineer
who is excited to build intelligent features using whatever approach solves the problem best.
Some solutions will use
LLMs and generative AI , some will rely on
traditional ML , some will be
heuristic or rules‑based , and many will be
hybrid systems
that combine them.
Your job is to evaluate the problem, select the appropriate approach, and deliver high‑quality, scalable solutions that improve user experiences.
In this role, you’ll build models, design prompts, develop services, run evaluations, and ship features end‑to‑end. This is a hands‑on applied engineering role with broad ownership, where you’ll work across modeling, service development, and lightweight ops.
What You’ll Do AI, ML & Hybrid Solution Development
Build and iterate on solutions using the full spectrum of approaches: LLMs, classical ML, heuristics, rules engines, retrieval systems, or combinations thereof.
Design, train, fine‑tune, and evaluate models for generative AI, classification, search, and content understanding.
Develop prompting strategies, multi‑step prompt workflows, and agents that power interactive AI experiences.
Build hybrid pipelines that combine deterministic logic with AI/ML components for predictable, reliable outcomes.
Service & Feature Engineering
Implement backend services and inference pipelines for the AI Assistant across Experience Cloud.
Build RAG systems, model‑serving layers, experimentation hooks, and scalable APIs.
Partner with frontend engineers and product teams to turn concepts into shipped features.
Evaluation, Data, and Light Ops
Build automated evaluation pipelines to measure quality, safety, latency, and reliability.
Prepare datasets for evaluation, fine‑tuning, and experimentation.
Deploy models and services using CI/CD, containers, and cloud workflows.
Monitor performance and iterate quickly based on data and user signals.
Cross‑Functional Collaboration
Work closely with Product, Engineering, Design and ML teams to explore new ideas and deliver customer‑facing features.
Help define guidelines for AI/ML development, evaluation, and hybrid system building.
Contribute to shared tools that accelerate experimentation and improve developer productivity.
What You Bring
5+ years experience in machine learning, applied AI engineering, IR or full‑stack intelligent feature development.
Hands‑on experience with both LLM‑based and traditional ML techniques, and the judgment to choose the right tool for the job.
Strong software engineering fundamentals and experience building production services (Node, Python, TypeScript, Go, or similar).
Experience building and deploying intelligent systems across cloud environments (Azure, AWS, GCP).
Ability to design evaluation frameworks, run experiments, and iterate rapidly.
Comfortable owning features from prototype to production, including monitoring and optimization.
Excellent communication and collaboration skills; thrives in fast‑paced environments with ambiguity and autonomy.
Nice to Have
Experience with hybrid LLM + deterministic systems, vector search, or orchestration tools.
Knowledge of Adobe Experience Cloud or other enterprise SaaS ecosystems.
Contributions to open‑source AI/ML tools, model‑serving frameworks, or evaluation libraries.
Prior startup or high‑velocity product development experience.
Compensation The U.S. pay range for this position is $142,700 – $257,600 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience.
State‑Specific Notices California:
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
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.
EEO Statement 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 applicable characteristics protected by law.
Accessibility Statement Adobe aims to make Adobe.com 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, contact accommodations@adobe.com or call (408) 536‑3015.
#J-18808-Ljbffr
About The Team The Gen AI Experience Engineering team is defining the future of intelligent workflows across Adobe Experience Cloud with the AI Assistant. We operate like a startup within Adobe—fast, iterative, and customer‑focused. Our mission is to build the intelligent systems, models, and services that power Adobe’s AI Assistant experience.
The Opportunity We’re looking for an
AI/ML Engineer
who is excited to build intelligent features using whatever approach solves the problem best.
Some solutions will use
LLMs and generative AI , some will rely on
traditional ML , some will be
heuristic or rules‑based , and many will be
hybrid systems
that combine them.
Your job is to evaluate the problem, select the appropriate approach, and deliver high‑quality, scalable solutions that improve user experiences.
In this role, you’ll build models, design prompts, develop services, run evaluations, and ship features end‑to‑end. This is a hands‑on applied engineering role with broad ownership, where you’ll work across modeling, service development, and lightweight ops.
What You’ll Do AI, ML & Hybrid Solution Development
Build and iterate on solutions using the full spectrum of approaches: LLMs, classical ML, heuristics, rules engines, retrieval systems, or combinations thereof.
Design, train, fine‑tune, and evaluate models for generative AI, classification, search, and content understanding.
Develop prompting strategies, multi‑step prompt workflows, and agents that power interactive AI experiences.
Build hybrid pipelines that combine deterministic logic with AI/ML components for predictable, reliable outcomes.
Service & Feature Engineering
Implement backend services and inference pipelines for the AI Assistant across Experience Cloud.
Build RAG systems, model‑serving layers, experimentation hooks, and scalable APIs.
Partner with frontend engineers and product teams to turn concepts into shipped features.
Evaluation, Data, and Light Ops
Build automated evaluation pipelines to measure quality, safety, latency, and reliability.
Prepare datasets for evaluation, fine‑tuning, and experimentation.
Deploy models and services using CI/CD, containers, and cloud workflows.
Monitor performance and iterate quickly based on data and user signals.
Cross‑Functional Collaboration
Work closely with Product, Engineering, Design and ML teams to explore new ideas and deliver customer‑facing features.
Help define guidelines for AI/ML development, evaluation, and hybrid system building.
Contribute to shared tools that accelerate experimentation and improve developer productivity.
What You Bring
5+ years experience in machine learning, applied AI engineering, IR or full‑stack intelligent feature development.
Hands‑on experience with both LLM‑based and traditional ML techniques, and the judgment to choose the right tool for the job.
Strong software engineering fundamentals and experience building production services (Node, Python, TypeScript, Go, or similar).
Experience building and deploying intelligent systems across cloud environments (Azure, AWS, GCP).
Ability to design evaluation frameworks, run experiments, and iterate rapidly.
Comfortable owning features from prototype to production, including monitoring and optimization.
Excellent communication and collaboration skills; thrives in fast‑paced environments with ambiguity and autonomy.
Nice to Have
Experience with hybrid LLM + deterministic systems, vector search, or orchestration tools.
Knowledge of Adobe Experience Cloud or other enterprise SaaS ecosystems.
Contributions to open‑source AI/ML tools, model‑serving frameworks, or evaluation libraries.
Prior startup or high‑velocity product development experience.
Compensation The U.S. pay range for this position is $142,700 – $257,600 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience.
State‑Specific Notices California:
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
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.
EEO Statement 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 applicable characteristics protected by law.
Accessibility Statement Adobe aims to make Adobe.com 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, contact accommodations@adobe.com or call (408) 536‑3015.
#J-18808-Ljbffr