Description
We're looking for a Staff Machine Learning Engineer to join our Community Support Engineering team. As a key member of this team, you will play a crucial role in developing and enhancing various AI models, ML services, and tools to drive CSxAI (Customer Support x Artificial Intelligence) initiatives.
Our team is responsible for adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience. We work closely with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb's CS products.
As a Staff Machine Learning Engineer, you will have the opportunity to shape the direction of our AI initiatives and work on cutting-edge projects that transform Airbnb's customer service. You will be responsible for envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.
Requirements:
- PhD/Master's degree in Computer Science or equivalent experience
- 6/9+ years of ML engineering experience with ownership responsibility over large-scale software systems
- Background in the design and development of AI and ML systems and services
- Experience with LLM driven chatbot and Agentic AI products is a plus
- Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
Our Commitment to Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many 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 bonus, equity, benefits, and Employee Travel Credits.
Pay Range: $204,000-$255,000 USD