Staff ML Engineer Generative AI for Customer Care (Remote)

Airbnb; United States; Remote; USD 212,000 - 260,000; Full time

Job summary

Airbnb is seeking a senior ML/AI engineer to lead and own the development of novel ML systems, product integrations, and scalable AI-powered customer service solutions. You will shape concepts from inception to production, collaborating with product, design, and engineering teams.

The role emphasizes building cutting-edge AI technologies for CSxAI initiatives, with remote eligibility in the US, and potential for office collaboration.

Qualifications

• PhD/Master’s degree, preferably in CS, or equivalent experience.
• 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, and a deep passion for building efficient and scalable ML-powered products
• Experience with LLM driven chatbot and Agentic AI products would be a big plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations

Responsibilities

• Envision, champion, and support 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.

Skills

ML engineering experience

LLM chatbot experience

Communication skills

Education

PhD/Master’s degree in CS

Job description

Airbnb is seeking a senior ML/AI engineer to lead and own the development of novel ML systems, product integrations, and scalable AI-powered customer service solutions. You will shape concepts from inception to production, collaborating with product, design, and engineering teams.

The role emphasizes building cutting-edge AI technologies for CSxAI initiatives, with remote eligibility in the US, and potential for office collaboration.