Adobe Media and Data Science Research (MDSR) Laboratory
Bucharest, Romania
Llm fine-tuning, prompt engineering, rag
Python and deep learning frameworks
Ml pipelines for training and deployment
You'll contribute directly to scaling our AI strategy by developing and optimizing ML models, building intelligent agent behaviors, and ensuring powerful performance in production environments
Job Summary
You'll contribute directly to scaling our AI strategy by developing and optimizing ML models, building intelligent agent behaviors, and ensuring powerful performance in production environments.
Design, develop, and deploy machine learning models that power Adobe's Agent Orchestrator Platform, enabling intelligent decision-making and autonomous agent behaviors in a large-scale, multi-cloud environment.
Stay ahead with the latest research in LLMs and agent-based AI, applying innovations to production systems.
Matching Summary
You'll contribute directly to scaling our AI strategy by developing and optimizing ML models, building intelligent agent behaviors, and ensuring powerful performance in production environments.
Skills & Requirements
Must-have
LLM fine-tuning, prompt engineering, RAG
Python and deep learning frameworks
ML pipelines for training and deployment
MLOps guidelines and practices
cloud ML platforms (AWS, Azure)
agentic AI systems development
Nice-to-have
responsible AI principles
agent-based simulation and planning
distributed training and large-scale fine-tuning
Key Requirements
Master's or PhD or 3-5 years ML engineering experience
Expert-level LLM knowledge
Hands-on LLM framework experience
Proven track record building and deploying ML models