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[Remote] Senior Staff Machine Learning Engineer, Guest & Host

Remote · Philippines Full-time

Note: The job is a remote job and is open to candidates in USA. Airbnb is a global community that connects hosts and guests to create authentic travel experiences. The Senior Staff Machine Learning Engineer will architect and implement advanced machine learning solutions, lead efforts in harnessing Large Language Models, and mentor engineers while enhancing guest and host experiences through innovative applications in Messaging and Notifications.

Responsibilities

  • Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
  • Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organization
  • Raise the AI/ML skillset within the organization. A passion for teaching/mentoring is important

Skills

  • 12+ years of software engineering experience
  • 2+ years of experience in a Principal or Senior Staff Engineer role having ownership responsibility over large-scale software systems
  • Background in the design and development of scalable AI and ML systems and services
  • Deep passion for building ML-powered products
  • Experience owning and fostering engineering maturity in multiple organizations
  • Ability to lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists
  • Proactive, curious, and an excellent communicator
  • Passion for teaching/mentoring

Benefits

  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

Company Overview

  • Airbnb is an online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.airbnb.com.
  • Company H1B Sponsorship

  • Airbnb has a track record of offering H1B sponsorships, with 59 in 2026, 234 in 2025, 176 in 2024, 160 in 2023, 270 in 2022, 250 in 2021, 274 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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