Staff ML Engineer – Generative AI for Customer Support

airbnb, Inc.; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Employee Travel Credits

Bonus and equity opportunities

Inclusive culture

Job summary

Airbnb, Inc. is seeking a Staff Machine Learning Engineer for Community Support Engineering in San Francisco. This role focuses on leveraging cutting-edge AI to transform customer service experiences through personalized solutions. The ideal candidate will have extensive ML engineering experience and the ability to work collaboratively across various teams.

The successful applicant will participate in developing innovative ML systems, working closely with product, design, and engineering partners. A PhD or Master's degree in Computer Science is preferred, along with 9+ years in ML engineering and a passion for building scalable AI products.

Qualifications

• PhD/Master's degree, preferably in CS, or equivalent experience.
• 9+ years of ML engineering experience with ownership of large-scale systems.
• Background in AI and ML systems design is essential.

Responsibilities

• Envision and support the development of ML systems and product integrations.
• Work with product and design teams to build AI solutions.
• Learn and share the latest AI/ML technologies.

Skills

Machine Learning

Artificial Intelligence

Cross-functional collaboration

AI systems design

Education

PhD/Master’s degree in Computer Science or equivalent experience

Job description

Airbnb, Inc. is seeking a Staff Machine Learning Engineer for Community Support Engineering in San Francisco. This role focuses on leveraging cutting-edge AI to transform customer service experiences through personalized solutions. The ideal candidate will have extensive ML engineering experience and the ability to work collaboratively across various teams.

The successful applicant will participate in developing innovative ML systems, working closely with product, design, and engineering partners. A PhD or Master's degree in Computer Science is preferred, along with 9+ years in ML engineering and a passion for building scalable AI products.