Machine Learning Engineer, Community Support Engineering

The Core ML Team

The Core ML team in Community Support is responsible for adopting Agentic AI technologies to enhance customer service experiences. The team focuses on developing the Chat AI assistant, Voice AI Assistant, and other AI-driven solutions.

Core Responsibilities

• Develop and optimize machine learning systems to improve guest and host experiences
• Collaborate with product, design, and engineering teams to integrate AI solutions into Airbnb's customer service products
• Stay up-to-date with the latest advancements in AI and machine learning
• Ship production-grade ML/AI systems at scale

Qualifications

• PhD or 3+ years of industry experience in Computer Science, Machine Learning, Statistics, Artificial Intelligence, or a related technical field
• Hands-on experience with large language models (LLMs), including pretraining, fine-tuning (Self-Supervised Fine-Tuning, Reward-Modeling Fine-Tuning, Prompt Engineering), and RAG architectures
• Experience with Agentic AI systems, including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines
• Deep understanding of ML infrastructure, model serving, and MLOps best practices
• Excellent communication skills to collaborate effectively across engineering, product, and design teams

Location

The successful applicant must be based in the San Francisco Bay Area, CA or Seattle, WA. Employees cannot be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware, and Rhode Island. This list is continuously updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment to Inclusion & Belonging

Airbnb is committed to working with a diverse talent pool. We believe diverse ideas foster innovation and engagement, and allow us to attract creative-led people and develop the best products, services, and solutions. All qualified individuals are encouraged to apply.

How We'll Take Care of You

The actual base pay is dependent on various factors such as training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonuses, equity, benefits, and Employee Travel Credits.