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AirbnbAirbnbSan Francisco, CA

Machine Learning Engineer

Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience. Requires PhD or equivalent experience and production ML/AI deployment expertise.

170k – 180k/yr
On-site3+ YOEML Engineering

About the role

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 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

Nice-to-Haves

  • Experience with SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail

Compensation & Benefits

  • Base pay range: $170,000—$180,000 USD
  • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits

Skills

LLMsPretrainingFine-TuningSftRLHFGrpoPrompt EngineeringRAGLlm EvaluationAgentic AIMulti-Agent OrchestrationTool-UsePlanningMemory

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