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Salary
$212k – $260k per year
Location
Remote (United States)
Seniority
Staff · 9+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Jun 28, 2026. Airbnb scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Airbnb is an online marketplace for holiday rentals and experiences, with millions of listings in more than 220 countries and regions.

Join Airbnb as a Staff Machine Learning Engineer in the Assistance Engineering team. You will drive customer support initiatives using generative AI technologies, develop and enhance AI models, and shape innovative ideas from inception to production. Collaborate cross-functionally with product, design, and engineering teams to create efficient AI solutions for Airbnb's customer service products. Enjoy benefits such as paid volunteer time, health food and snacks, generous parental and family leave, learning and development opportunities, and annual travel and experiences credit.

Missions

  • Concevoir, défendre et soutenir le développement de nouveaux systèmes d'apprentissage automatique, d'intégrations de produits et d'optimisations de performance pour résoudre des problèmes concrets.
  • Travailler en collaboration avec les équipes produit, design et d'autres ingénieurs pour concevoir et construire des solutions d'IA efficaces pour les produits de service client d'Airbnb.
  • Construire et tirer parti des technologies d'IA de pointe pour transformer le service client d'Airbnb en offrant une expérience de service client personnalisée, facile à utiliser et proactive.

Profil recherché

- 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems

- 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

- 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

- PhD/Master’s degree, preferably in CS, or equivalent experience

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