Key skills
Machine LearningArtificial IntelligenceLarge Language Models (LLM)PretrainingFine-tuning SFTFine-tuning RLHFFine-tuning GRPOPrompt EngineeringRetrieval-Augmented Generation (RAG) ArchitecturesLLM Evaluation FrameworksAgentic AI SystemsMulti-agent OrchestrationTool-use in AIPlanning in AI SystemsMemory in AI SystemsAutonomous Reasoning PipelinesProduction-grade ML/AI SystemsML InfrastructureModel ServingMLOpsAIMLLLMRAGAgenticAutoGenLangGraphReactCommunication
About this role
Airbnb is a global company that connects hosts and guests for unique stays and experiences. They are seeking a Machine Learning Engineer to develop AI technologies that enhance customer service, leveraging cutting-edge ML systems to provide personalized support for users.
Responsibilities:
- Champion the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
- Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
- Learn and share the latest AI/ML technologies with the team
Requirements:
- PhD or Master's degree w/ 3+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience
- Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks
- Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar)
- Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices
- Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations