
5001 - 10000 employees
Founded 2007
👥 B2C
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
B2C • eCommerce • Hospitality
Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
🕒 April 10
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5001 - 10000 employees
Founded 2007
👥 B2C
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
B2C • eCommerce • Hospitality
Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
• Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs • Drive innovation by taking AI prototypes from concept to production at scale • Shape the future of how Airbnb employees work, collaborate, and discover information • Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization • Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce • Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making • Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices • Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response • Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs • Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions • Stay current with the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application • Balance hands-on technical contributions with technical leadership activities
• 8+ years of software engineering experience, with significant focus on building production AI/ML systems • 2+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG) • Strong proficiency in backend technologies (TypeScript, Go, or Java) • Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure) • Track record of shipping AI-powered products from prototype to production • Proven ability to collaborate cross-functionally and influence without authority • Excellent communication skills with ability to distill complex technical concepts for diverse audiences • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. • Master's or PhD in Computer Science, Machine Learning, or related field (preferred)
• Health insurance • Flexible work arrangements • Paid time off • Professional development opportunities • Inclusion and belonging commitment
Apply Now🕒 April 10
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🛒 Retail
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