Machine Learning Engineer, Customer Support Engineering

🕒 3 days ago

🇺🇸 United States – Remote

💵 $162k - $186k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Airbnb

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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.

🏖️ Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.