Adobe Media and Data Science Research (MDSR) Laboratory
San Jose, California, US
$142,700 -- $270,950 annually; in california, the ...
Ai-assisted coding tools
Llms and rag systems
End-to-end ai product delivery
Our team builds AI solutions that directly move Adobe's business, from GenAI-powered business intelligence agents and RAG-based AI assistants, to ML models for payment optimization, next-best-action personalization, customer lifetime value prediction, and in-app monetization
Job Summary
Our team builds AI solutions that directly move Adobe's business, from GenAI-powered business intelligence agents and RAG-based AI assistants, to ML models for payment optimization, next-best-action personalization, customer lifetime value prediction, and in-app monetization.
You will leverage AI — including AI-assisted coding and rapid prototyping — to build end-to-end products that solve real business problems fast.
We move quickly, and we expect you to use every modern AI tool at your disposal to ship faster.
Matching Summary
Our team builds AI solutions that directly move Adobe's business, from GenAI-powered business intelligence agents and RAG-based AI assistants, to ML models for payment optimization, next-best-action personalization, customer lifetime value prediction, and in-app monetization.
Salary
$142,700 -- $270,950 annually; In California, the pay range for this position is $187,100 - $270,950; Not specified
Skills & Requirements
Must-have
AI-assisted coding tools
LLMs and RAG systems
End-to-end AI product delivery
Scalable ML/AI pipelines on cloud
Python programming proficiency
Full-stack application development
Nice-to-have
Autonomous AI agents
Function calling and tool-use
AI system evaluation and observability
Rapid prototyping with AI
Key Requirements
MS or PhD in Computer Science or related field, or BS with equivalent practical experience
5+ years' experience building ML/AI systems
Proficiency with AI-assisted coding tools
Hands-on experience with LLMs
Experience with cloud platforms (Azure preferred)
Experience with big data tools (Spark, Databricks)