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AIML Engineer – GenAI Assistant & Experience Engineering at Adobe
Adobe
San Jose, CA
Information Technology
Posted 0 days ago
Job Description
Our CompanyChanging the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!About the TeamThe 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 Adobefast iterative and customer-focused. Our mission is to build the intelligent systems models and services that power Adobes AI Assistant experience.The OpportunityWere looking for anAI/ML Engineerwho is excited to build intelligent features using whatever approach solves the problem best.Some solutions will useLLMs and generative AI some will rely ontraditional ML some will beheuristic or rules-based and many will behybrid systemsthat 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 youll 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 youll work across modeling service development and lightweight ops.What Youll DoAI ML & Hybrid Solution DevelopmentBuild and iterate on solutions using thefull spectrumof 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 EngineeringImplement 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 OpsBuild 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.While this is not a dedicated ops role you should be able to own and operate your work end-to-end as projects require.Cross-Functional CollaborationWork 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 Bring5 years experience inmachine learning applied AI engineering IRor full-stack intelligent feature development.Hands-on experience with bothLLM-basedandtraditional MLtechniques 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 production including monitoring and optimization.Excellent communication and collaboration skills; thrives in fast-paced environments with ambiguity and autonomy.Nice to HaveExperience 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.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 $$257600 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge skillsand experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.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 OrdinancesAdobe 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 NoticeThere 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: Massachusetts Legal NoticeIt 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 proud to be anEqual Employment Opportunityemployer. 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.Learn more.Adobe aims to make 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 emailor call . Key Skills Eclipse,Engineering,Event Planning,Interior,Cisco Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 142700 - 257600
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