Staff ML Engineer - AI for Customer Support (Remote)

Airbnb

San Francisco (CA)

On-site

USD 212,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Bonus opportunities
Employee travel credits
Equity options
Health benefits

Job summary

Airbnb is seeking an experienced Machine Learning Engineer to drive innovations in customer service using advanced artificial intelligence. The role focuses on building AI systems and integrating them with existing services, enhancing user experience.

The ideal candidate will have a PhD or Master's in Computer Science and over 9 years of experience in ML engineering. You will work with various teams to develop efficient AI solutions while sharing insights on the latest ML technologies.

This position is remote eligible, allowing flexibility in work location within the registered states.

Qualifications

  • 9+ years of ML engineering experience with ownership of large-scale systems.
  • Experience in AI and ML systems design and development.
  • Familiarity with LLM-driven chatbot products is a plus.

Responsibilities

  • Develop novel ML systems and product integrations.
  • Work cross-functionally to design AI solutions for customer service.
  • Share and learn the latest AI/ML technologies within the team.

Skills

Machine Learning Engineering
AI Systems Design
Communication Skills
Cross-functional Collaboration
Large-scale Software Development

Education

PhD/Master's degree in Computer Science or equivalent

Job description

Airbnb is seeking an experienced Machine Learning Engineer to drive innovations in customer service using advanced artificial intelligence. The role focuses on building AI systems and integrating them with existing services, enhancing user experience.

The ideal candidate will have a PhD or Master's in Computer Science and over 9 years of experience in ML engineering. You will work with various teams to develop efficient AI solutions while sharing insights on the latest ML technologies.

This position is remote eligible, allowing flexibility in work location within the registered states.

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