
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.
🔥 0 minutes ago
🏄 California – Remote
💵 $196k - $227k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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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, agent orchestration, 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 • Architect and build production-ready AI/ML-integrated systems, ensuring scalability, reliability, and low latency across multi-cloud environments • 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, safety, and user satisfaction • 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 emerging AI technologies and evaluate their applicability to employee experience products • Balance hands-on technical contributions with technical leadership activities
• 8+ years of software engineering experience, with significant focus on building production AI/ML systems • Deep understanding of Large Language Models (LLMs) including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG) • Strong proficiency in Python and at least one additional language (TypeScript, Go, or Java) • Experience building and deploying production ML systems at scale with high availability and low latency requirements • Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP) • 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 • BS in Computer Science, Engineering, or equivalent practical experience. • Master's or PhD in Computer Science, Machine Learning, or related field (Preferred).
• Health insurance • 401(k) matching • Employee Travel Credits • Professional development opportunities
Apply Now🔥 2 hours ago
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