AI/ML Engineer – Gen AI Assistant & Experience Engineering jobs in United States
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Adobe · 3 weeks ago

AI/ML Engineer – Gen AI Assistant & Experience Engineering

Adobe is a company focused on changing the world through digital experiences, and they are seeking an AI/ML Engineer to join their Gen AI Experience Engineering team. The role involves building intelligent features using various AI and machine learning approaches, delivering scalable solutions, and collaborating with cross-functional teams to enhance user experiences.

Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Build and iterate on solutions using the full spectrum of approaches: LLMs, classical ML, heuristics, rules engines, retrieval systems, or combinations thereof
Design, train, and evaluate classical ML models where appropriate, and integrate, fine-tune (via prompting or adapters), and evaluate partner-provided LLMs for generative AI, classification, search, and content understanding use cases
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
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
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
Work closely with Product, Engineering, Design and ML teams to explore new ideas and deliver customer-facing features
Help define best practices for AI/ML development, evaluation, and hybrid system design
Contribute to shared tools that accelerate experimentation and improve developer productivity

Qualification

Machine LearningLLM-based TechniquesSoftware EngineeringHybrid SystemsEvaluation FrameworksPythonNodeTypeScriptGoCommunication SkillsCollaboration Skills

Required

5+ years experience in machine learning, applied AI engineering, IR or full-stack intelligent feature development – prioritizing experience with core ML problem-solving, such as building/designing or debugging predictive models (over operational pipelines and monitoring)
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)
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 environments with ambiguity and autonomy

Preferred

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

Benefits

Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award

Company

Adobe is a software company that provides its users with digital marketing and media solutions.

H1B Sponsorship

Adobe has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)

Funding

Current Stage
Public Company
Total Funding
$2.5M
Key Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M

Leadership Team

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Shantanu Narayen
CEO
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Dan Durn
Chief Financial Officer
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Company data provided by crunchbase