2 days ago
Base Salary
$196k - $227k/yr
Responsibilities
- Develop novel machine learning systems, product integrations, and performance optimizations for real-world customer-service problems.
- Design and build efficient AI solutions for Airbnb customer-service products in collaboration with Product, Design, and Engineering.
- Develop chat, voice, and human-agent AI assistants using agentic architectures and advanced ML technologies.
- Shape early-stage initiatives from initial concept through production deployment.
- Learn and share current AI and machine-learning technologies with the team.
Requirements
- PhD or master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, with 6 or more years of experience, or equivalent industry experience.
- Hands-on expertise with LLM pretraining, fine-tuning including SFT, RLHF, and GRPO, prompt engineering, RAG architectures, and LLM evaluation frameworks.
- Experience building agentic AI systems involving multi-agent orchestration, tool use, planning, memory, and autonomous reasoning pipelines.
- Experience shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices.
- Excellent communication and cross-functional collaboration skills across Engineering, Product, and Design.
Benefits
- US remote-eligible position with occasional work at an Airbnb office or attendance at offsites as agreed with the manager.
- May be eligible for bonus, equity, benefits, and Employee Travel Credits.
- Base pay range is $196,000–$227,000 USD.
Tech Stack
Categories
About Airbnb
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays, experiences and services that make it possible for guests to connect with communities in a more authentic way.